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Machine Learning (ML) Jobs in Bangalore (Bengaluru)

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Sahaj AI Software

at Sahaj AI Software

1 video
6 recruiters
Pooja  Mandlekar
Posted by Pooja Mandlekar
Bengaluru (Bangalore), Chennai, Pune
7 - 30 yrs
Best in industry
skill iconMachine Learning (ML)
Operations research
Applied mathematics
Applied Statist
Data mining
+2 more

Job Description

Data scientist with a strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialisation in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes.

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models.

Responsibilities and skills:

  • Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation.
  • Selecting features, building and optimising classifiers using ML techniques.
  • Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques.
  • Should be able to appreciate and work on:

Computer Vision problems – for example extract rich information from images to categorise and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.

OR

Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc.

OR

Experience of having worked in these areas : speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing.

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
  • Experience in working with GPUs to develop models, handling terabyte size datasets.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable.
  • Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc.
  • Experience with NoSQL databases and familiarity with data visualisation tools will be of great advantage.


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Ankercloud GmbH

at Ankercloud GmbH

2 recruiters
Reshika Mendiratta
Posted by Reshika Mendiratta
Bengaluru (Bangalore), Pune
5yrs+
Upto ₹35L / yr (Varies
)
skill iconMachine Learning (ML)
skill iconDeep Learning
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
skill iconPython
+6 more

About us

Ankercloud is the cloud and technology partner for data-driven digital transformation. Ankercloud provides consulting, implementation services, and industry-specific analytics solutions that deliver cost-effective and high-impact business value by processing data.


Our cloud solutions are the most efficient, cost-effective and are deployed faster without compromising on quality. We are agile and strive to be trusted technology and cloud partners focused only on what's best for our customer’s business.


Roles and Responsibilities:

● Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

● Exploring, analyzing and visualizing data to gain an understanding of it.

● Maintaining Data quality on different types of datasets.

● Supervising the data acquisition process if more data is needed

● Defining Model validation strategies

● Defining the preprocessing or feature engineering to be done on a given dataset

● Data augmentation pipelines

● Training models and tuning their hyperparameters

● Analyzing the errors of the model and designing strategies to overcome them.

● Defining the A/B testing setups. Deploying and maintaining the MLOps pipelines.


Technical Expertise:

● Hands on experience on TensorFlow, PyTorch, Keras, Caffe,Supervised Machine Learning Algorithms,Deep Learning Models (CNN, RNN, LSTM, BERT, NLU and YOLO), Cloud Platforms (AWS/GCP)

● Experience in Data Wrangling and PySpark(Good to have knowledge over EMR and Glue)

● Excellent skills developing in Python as well as significant experience working in a Linux environments.

● Experience with containerizing applications using Docker

● Experience in SQL and at least one NoSQL data store Elasticsearch, MongoDB, Cassandra, HBase

● Experience in handling branch based deployments.


Good to Have:

● Knowledge over MLFlow and Kubeflow.

● Optimization of Multipe GPUs.

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A Customer Data Platform-led personalization and real-time marketing automation solution that delivers superior customer experiences resulting in increased conversions, retention, and growth for enterprises.

A Customer Data Platform-led personalization and real-time marketing automation solution that delivers superior customer experiences resulting in increased conversions, retention, and growth for enterprises.

Agency job
via HyrHub by Shwetha Naik
Bengaluru (Bangalore)
6 - 12 yrs
₹25L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconDeep Learning
+4 more


• 6+ years of data science experience.

• Demonstrated experience in leading programs.

• Prior experience in customer data platforms/finance domain is a plus.

• Demonstrated ability in developing and deploying data-driven products.

• Experience of working with large datasets and developing scalable algorithms.

• Hands-on experience of working with tech, product, and operation teams.


Technical Skills:

• Deep understanding and hands-on experience of Machine learning and Deep

learning algorithms. Good understanding of NLP and LLM concepts and fair

experience in developing NLU and NLG solutions.

• Experience with Keras/TensorFlow/PyTorch deep learning frameworks.

• Proficient in scripting languages (Python/Shell), SQL.

• Good knowledge of Statistics.

• Experience with big data, cloud, and MLOps.

Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent presentation and communication skills.

• Ability to work independently and deal with ambiguity.

Continuous Learning:

• Stay up to date with emerging technologies.


Qualification.


A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.



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the world’s first real-time marketing automation built on an Intelligent and Secure Customer Data Platform orchestrating 1-to-1 personalization and cross-channel customer journeys at scale that increases conversion, retention, & growth for enterprises

the world’s first real-time marketing automation built on an Intelligent and Secure Customer Data Platform orchestrating 1-to-1 personalization and cross-channel customer journeys at scale that increases conversion, retention, & growth for enterprises

Agency job
via HyrHub by Neha Koshy
Bengaluru (Bangalore)
6 - 12 yrs
₹25L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconDeep Learning
+4 more

Experience Required:

  • 6+ years of data science experience.
  • Demonstrated experience in leading programs.
  • Prior experience in customer data platforms/finance domain is a plus.
  • Demonstrated ability in developing and deploying data-driven products.
  • Experience of working with large datasets and developing scalable algorithms.
  • Hands-on experience of working with tech, product, and operation teams.


Key Responsibilities:

Technical Skills:

  • Deep understanding and hands-on experience of Machine learning and Deep learning algorithms. Good understanding of NLP and LLM concepts and fair experience in developing NLU and NLG solutions.
  • Experience with Keras/TensorFlow/PyTorch deep learning frameworks.
  • Proficient in scripting languages (Python/Shell), SQL.
  • Good knowledge of Statistics.
  • Experience with big data, cloud, and MLOps.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent presentation and communication skills.
  • Ability to work independently and deal with ambiguity.

Continuous Learning:

  • Stay up to date with emerging technologies.


Qualifications:

A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.

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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
3 - 7 yrs
₹10L - ₹15L / yr
skill iconPython
API
FAST API
SQLAlchemy
skill iconPostgreSQL
+8 more

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)


You will be responsible for:

  • Building Python scripts to deploy our AI components into pipeline and production
  • Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
  • Managing our daily pipeline on both on-premise servers and AWS
  • Working closely with the AI engineering, backend and frontend teams


You should have the following qualities:

  • Deep expertise in Python including:
  • Multiprocessing / multithreaded applications
  • Class-based inheritance and modules
  • DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
  • Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
  • Optimal multithreading / multiprocessing strategies
  • Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
  • Experience in creating soft real-time processing tasks is a plus
  • Expertise in Docker-based virtualization including:
  • Creating & maintaining custom Docker images
  • Deployment of Docker images on cloud and on-premise services
  • Experience with maintaining cloud applications in AWS environments
  • Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
  • Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
  • Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
  • Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
  • Excited about working in a fast-changing startup environment
  • Willingness to learn rapidly on the job, try different things, and deliver results
  • Ideally a gamer or someone interested in watching gaming content online


Seniority: We are looking for a mid to senior level engineer


Salary: Will be commensurate with experience. 


Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience:  4 years to 8 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg. 



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Tiger Analytics
Chennai, Bengaluru (Bangalore)
4 - 8 yrs
₹6L - ₹20L / yr
skill iconMachine Learning (ML)
Neural networks
Computer Vision
skill iconDeep Learning
Responsibilities:
• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
Read more
42 Cards solution

42 Cards solution

Agency job
via Qrata by Prajakta Kulkarni
Bengaluru (Bangalore)
10 - 13 yrs
₹25L - ₹28L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+7 more

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

 

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

 

We are currently scouting for Head of Analytics

 

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

 

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

 

Qualification:

  • Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
  • Proven experience (7+ years) in leading analytics teams in the credit card industry
  • Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
  • Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
  • Experience with analytics tools such as SAS, SPSS, or Tableau
  • Excellent leadership and team management skills, with a track record of building and developing high-performing teams
  • Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
  • Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

 

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

 

For more Opportunities Visit: Qrata Opportunities.

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Webtiga Private limited
Bengaluru (Bangalore)
7 - 13 yrs
Best in industry
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Microservices
Architecture
Cloud Computing
+1 more

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

  • Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
  • Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

  • Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
  • Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
  • Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

  • Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
  • Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

  • Lead the development and deployment of AI and machine learning models.
  • Implement best practices for model training, testing, and validation.
  • Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

  • Define and implement microservices architecture patterns and best practices.
  • Ensure that microservices are designed for scalability, flexibility, and resilience.
  • Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

  • Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
  • Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

  • Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
  • Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

  • Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
  • Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

  • Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
  • Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

  • Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
  • Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

  • Bachelor's or Masters degree in computer science, Data Science, or a related field.
  • Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
  • Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
  • Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
  • Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
  • Excellent communication and interpersonal skills.
  • Ability to lead cross-functional teams and drive innovation.
  • Strong problem-solving and critical-thinking abilities.
  • Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

  • AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
  • Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
  • Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

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Zevo software labs pvt ltd
Bengaluru (Bangalore)
3 - 8 yrs
Best in industry
skill iconPython
skill iconMachine Learning (ML)
Cloud Computing
Natural Language Processing (NLP)
TensorFlow
+5 more

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!


As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.


Responsibilities:


  1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
  2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
  3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
  4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
  5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
  6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
  7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
  8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.



Requirements


  1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
  2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
  3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
  4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
  5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
  6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
  7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.


If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

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CK-12 Foundation

at CK-12 Foundation

1 video
7 recruiters
Amit Gupta
Posted by Amit Gupta
Bengaluru (Bangalore)
3 - 6 yrs
Best in industry
PyTorch
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
Scikit-Learn
Large Language Model
+2 more

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.


Key Responsibilities:

  1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
  2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
  3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
  4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
  5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
  6. Report and track defects, providing detailed information to facilitate problem resolution.
  7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
  8. Provide detailed reports and documentation on system performance, issues, and validation results.


Required Skills & Qualifications:

  1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
  3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
  4. Proficient in scripting and programming languages such as Python, shell scripts etc.
  5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
  6. Excellent problem-solving abilities and attention to detail.
  7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
  8. Ability to work in a fast-paced, collaborative environment.


Preferred Skills & Qualifications:

  1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
  2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
  3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
  4. Understanding of Data Analysis and Visualization tools and techniques.



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Credit Card processing solutions for banks & NBFCs

Credit Card processing solutions for banks & NBFCs

Agency job
via Qrata by Prajakta Kulkarni
Bengaluru (Bangalore)
7 - 15 yrs
Best in industry
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+3 more


Role: Head of Analytics

Location: Bangalore (Full time)


ABOUT QRATA: 

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing startups using Qrata’s talent marketplaces. To sign-up, please visit Qrata Talent Sign-Up 


ABOUT THE COMPANY WE ARE HIRING FOR: 

Our client is offering credit card solutions for banks and financial institutions. It provides services like credit card design and onboarding, credit card authorization, payment processing, collections and dispute resolutions, credit card fraud detection, and more. They serve in the B2B space in the FinTech market segments.


POSITION OVERVIEW 

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modeling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business.


Responsibilities:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall

business objectives.

o Identify key performance indicators (KPIs) and metrics to track the performance

of the credit card business.

o Collaborate with senior management and cross-functional teams to prioritize and

execute analytics initiatives. 2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.


3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and

integrity across relevant systems and platforms.

o Collaborate with IT teams to optimize data collection, integration, and storage

processes to support advanced analytics capabilities.

o Establish and enforce data privacy and security protocols to comply with

regulatory requirements.


4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.

o Provide guidance and mentorship to the team, promoting professional growth and development.

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.


5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit

card business, and the financial industry.

o Leverage industry best practices to drive innovation and continuous improvement

in analytics methodologies and tools.


Qualifications:


Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.

Proven experience (7+ years) in leading analytics teams in the credit card industry.

Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques.

Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

Experience with analytics tools such as SAS, SPSS, or Tableau.

Excellent leadership and team management skills, with a track record of building and developing high-performing teams.

Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.

Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience. 

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Kloud9 Technologies
Prem Kumar
Posted by Prem Kumar
Bengaluru (Bangalore)
3 - 7 yrs
₹12L - ₹24L / yr
skill iconMachine Learning (ML)
skill iconData Science
skill iconPython
skill iconJava
skill iconR Programming

About Kloud9:

 

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

 

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

 

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

 

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

 

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

 

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

 

Basic requirements: 

 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

 

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

 

Why Explore a Career at Kloud9:

 

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

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Igeeks Technologies

at Igeeks Technologies

1 video
1 recruiter
Nandu Rao
Posted by Nandu Rao
Bengaluru (Bangalore)
0 - 0 yrs
₹1000 - ₹3000 / mo
skill iconMachine Learning (ML)
Internet of Things (IOT)

Igeeks is India's no.1 internship platform with 12000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is offering industrial internships for B.E /Engineering Students based on Embedded Systems / IOT / Machine Learning in Python / Java / Big Data. Electronics and Communication / Computer Science Engineering / Information Science Engineering / Mechanical Engineering / Electrical and Electronics / Telecommunication Engineering Students can Apply For it. Duration of the internship will be 1 Month / 4 weeks. Limited Seats will be offered.



New Internship batch starts from 8th January 2024


Benefits of Internship :

- Work on projects.

- Exposure to work on current technologies

- Company certification

- Hands on experience


For more information refer official website here: www.igeekstechnologies.com

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Cubera Tech India Pvt Ltd
Surabhi Koushik
Posted by Surabhi Koushik
Bengaluru (Bangalore)
2 - 3 yrs
₹24L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
SQL
+6 more

Data Scientist

 

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

 

What you’ll do?

 

  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
  • Research new and innovative machine learning approaches.
  • Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
  • Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
  • Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
  • Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

  • Ability to write a SQL query to pull the data you need.
  • Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
  • Experience in Tensorflow and/or R Modelling and/or PyTorch
  • Ability to understand a business problem and translate, and structure it into a data science problem. 

 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

 

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Tredence
Sharon Joseph
Posted by Sharon Joseph
Bengaluru (Bangalore), Gurugram, Chennai, Pune
7 - 10 yrs
Best in industry
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+1 more

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

  1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
  2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
  3. Participate and lead executive presentations with client leadership stakeholders.
  4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
  5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

  1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
  2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
  3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
  4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
  5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
  6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
  7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
  8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
  9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

 

Qualification & Experience

  1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
  2. 6-10+ years of experience in data science, building hands-on ML models
  3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
  4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
  5. Knowledge of programming languages SQL, Python/ R, Spark.
  6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
  7. Experience with cloud computing services (AWS, GCP or Azure)
  8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
  9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
  10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
  11. Knowledge in GPU code optimization, Spark MLlib Optimization.
  12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
  13. Experience with ML CI/CD pipelines.
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Tredence
Suchismita Das
Posted by Suchismita Das
Bengaluru (Bangalore), Gurugram, Chennai, Pune
8 - 10 yrs
Best in industry
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
skill iconR Programming
SQL
+1 more

THE IDEAL CANDIDATE WILL

 

  • Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
  • Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
  • Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
  • Work hands-on across various MLOps problems and provide thought leadership
  • Grow and manage large teams with diverse skillsets
  • Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

 

 

 

ELIGIBILITY CRITERIA

 

  • BE/BTech/MTech (Specialization/courses in ML/DS)
  • At-least 7+ years of Consulting services delivery experience
  • Very strong problem-solving skills & work ethics
  • Possesses strong analytical/logical thinking, storyboarding and executive communication skills
  • 5+ years of experience in Python/R, SQL
  • 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
  • Hands on work experience in DevOps
  • Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
  • Exposure on cloud technologies like Azure, AWS or GCP
  • Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
  • Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
  • Experience with one or more Container-ecosystem (Docker, Kubernetes)
  • Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
  • Good understanding of OOP & Data Structures concepts

 

 

Nice to Have:

 

  • Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
  • Experience in Helm is a plus
  • Strong understanding of data infrastructure, data warehouse, or data engineering

 

You can expect to –

  • Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
  • Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
  • Work in a diverse environment that keeps evolving
  • Hone your entrepreneurial skills as you contribute to growth of the organization

 

 

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NeuranceAI Technologies Private Limited
Bengaluru (Bangalore)
2 - 5 yrs
₹4L - ₹12L / yr
Named-entity recognition
Long short-term memory (LSTM)
Natural Language Processing (NLP)
BERT
NLU
+5 more
𝐄𝐥𝐢𝐠𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐂𝐫𝐢𝐭𝐞𝐫𝐢𝐚

2-5 yrs of proven experience in ML, DL, and preferably NLP.

Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.


𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐨𝐧?
𝟏) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.


𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
𝟑) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.


𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
𝟏) We offer Competitive remuneration.
𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
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Top Management Consulting Company

Top Management Consulting Company

Agency job
Bengaluru (Bangalore), Gurugram
2 - 8 yrs
₹10L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+11 more
Greetings!!

We are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:

Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
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Perfios

Perfios

Agency job
via Seven N Half by Susmitha Goddindla
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹15L / yr
SQL
ETL tool
python developer
skill iconMongoDB
skill iconData Science
+15 more
Job Description
1. ROLE AND RESPONSIBILITIES
1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
2.2. Experience of working with data-intensive projects, with a variety of technology stacks including different programming languages (Java,
Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
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EnterpriseMinds

at EnterpriseMinds

2 recruiters
phani kalyan
Posted by phani kalyan
Bengaluru (Bangalore)
3 - 7.5 yrs
₹10L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Spark
Software deployment
+1 more
Job ID: ZS0701

Hi,

We are hiring for Data Scientist for Bangalore.

Req Skills:

  • NLP 
  • ML programming
  • Spark
  • Model Deployment
  • Experience processing unstructured data and building NLP models
  • Experience with big data tools pyspark
  • Pipeline orchestration using Airflow and model deployment experience is preferred
Read more
Contact Center software that leverages AI to improve custome

Contact Center software that leverages AI to improve custome

Agency job
via Qrata by Rayal Rajan
Bengaluru (Bangalore)
4 - 8 yrs
₹17L - ₹40L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconAmazon Web Services (AWS)
skill iconPython
+4 more
Role: Machine Learning Engineer

As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.

Basic Qualifications

• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent
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Gormalone LLP

at Gormalone LLP

3 recruiters
Dhwani Rambhia
Posted by Dhwani Rambhia
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹20L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconData Analytics
+18 more

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

 

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

 

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

 

Location: Bangalore

 

Roles & Responsibilities

  • Individual contributor
  • Developing and maintaining an end-to-end data science project
  • Deploying scalable applications on different platform
  • Ability to analyze and enhance the efficiency of existing products

 

What are we looking for?

  • 3 to 5 Years of experience as a Data Scientist
  • Skilled in Data Analysis, EDA, Model Building, and Analysis.
  • Basic coding skills in Python
  • Decent knowledge of Statistics
  • Creating pipelines for ETL and ML models.
  • Experience in the operationalization of ML models
  • Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
  • Hands-on experience in Keras, PyTorch or Tensorflow

 

 

Basic Qualifications

  • Tech/BE in Computer Science or Information Technology
  • Certification in AI, ML, or Data Science is preferred.
  • Master/Ph.D. in a relevant field is preferred.

 

 

Preferred Requirements

  • Exp in tools and packages like Tensorflow, MLFlow, Airflow
  • Exp in object detection techniques like YOLO
  • Exposure to cloud technologies
  • Operationalization of ML models
  • Good understanding and exposure to MLOps

 

 

Kindly note: Salary shall be commensurate with qualifications and experience

 

 

 

 

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Top Management Consulting Company

Top Management Consulting Company

Agency job
via People First Consultants by Naveed Mohd
Gurugram, Bengaluru (Bangalore), Chennai
2 - 9 yrs
₹9L - ₹27L / yr
DevOps
Microsoft Windows Azure
gitlab
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
+15 more
Greetings!!

We are looking out for a technically driven  "ML OPS Engineer" for one of our premium client

COMPANY DESCRIPTION:
This Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address


Key Skills
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
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Dori AI

at Dori AI

5 recruiters
Nitin Gupta
Posted by Nitin Gupta
Bengaluru (Bangalore)
2 - 8 yrs
₹1L - ₹20L / yr
skill iconData Science
skill iconMachine Learning (ML)
Computer Vision
skill iconPython
recommendation algorithm
Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Requirements
1. 2 to 4 years of relevant industry experience
2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper
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Netlabs

at Netlabs

1 recruiter
Mayank S
Posted by Mayank S
Bengaluru (Bangalore)
3 - 6 yrs
₹4L - ₹8L / yr
uipath
A2019
RPA
Robotics
Automation
+7 more

Job Title: Sr. Developer/ Developer – Robotics & AI Business Unit

Business Unit: Robotics & AI

Reporting To: Head – Robotics & AI Business Unit / Delivery Head - Robotics & AI Business Unit

Supervises: Junior developers

 

 

Skill Sets Required:

 

  • Strong Expertise and experience with Automation Anywhere. With an overall experience of around 3 - 6 years, of which at least 2 years of proven experience in working on live automation projects using Automation Anywhere and /all UIPATH.
  • Experience in A2019 version (mandatory) with knowledge of new tools like AARI will be preferred. Strong working knowledge of A2019 AARI, IQ BOT, Discovery BOT.
  • Other RPA platforms experience like UiPath, Microsoft Power Automate, Softomotive, etc. will be an added preference. Working knowledge of UIPATH - Studio X, Ai-Fabric etc will be an added preference.
  • Expertise and experience in using technologies like AI, NLP, OCR, Machine Learning/ML etc. which will be used for various aspects of business process automation, will be an added preference. Usage of Microsoft Azure AI / AWS Lex / Google AI. 
  • Experience and Expertise in coding languages like Python, Java/.Net. Working knowledge on Python is desirable. 
  • Working Knowledge of Restful API’s, Microservices and BOT Integration frameworks.  
  • Experience and good understanding of the Software Development Lifecycle (Requirements Gathering, Development, Testing and Change Management).
  • Experience with Process Discovery, Design, Analysis and Implementation (knowledge about common methods and frameworks like ITIL, Six Sigma etc)
  • Knowledge and usage of platforms & technologies like Django, SPACY, BERT, GIT, JIRA, Lucid, POSTGRE SQL etc

 

 

Job Purpose:

  • To contribute to the Delivery unit of the RPA and AI business as a Senior Developer in accordance with the vision, mission, objective and goals of the RPA and AI Business Unit and the Organization.
  • To be recognised as a high-performance team member of RPA and AI Business Unit.
  • To excel in Project and Program Delivery for customers and create a comprehensive Project Delivery eco-system with the best practices and methodologies in line with RPA and AI.
  • Develop, maintain and improve project delivery efficiency to optimize productivity & resource utilisation and maximize profitability through delivery excellence and customer delight.
  • To assist the pre-sales and product/platform building plans of the RPA and AI business.
  • To create in mind of customers and partners, a positive brand image of the Company.

 

Key Job Responsibilities:

  • Delivering RPA and AI projects as per scope, on time, within Budget with meeting all KPI’s and Objectives.
  • Delivering Customer Projects: Oversee the design and implementation of RPA & AI solutions using the selected RPA & AI platform(s). This will involve managing a team of architects & coders. It will also need to be “hands-on” to some degree to ensure smooth delivery of the project and program.
  • As part of Project Sprints, identification of process improvement and regular reviews to identify opportunities where automation can drive benefits and efficiencies for the business
  • Working with the project teams and business/customer SMEs and IT teams, analyse existing business processes in detail in order to assess feasibility and to redesign those processes for an RPA/AI supported solution
  • Reporting metrics and governance structures are put in place to measure the performance and outcome of the RPA/AI solutions being delivered to customers/internal
  • Documenting Best Practices and Methodologies to enhance and improve the quality of delivery of RPA and AI projects, creating of re-usable delivery assets.
  • Effective Communication with the customer and the relevant stakeholders to ensure smooth delivery of the projects and programs.
  • As a part of RPA/AI Delivery, there will be responsibilities for the ongoing support of Solutions and services provided and the quality of service and performance
  • Monitor, support and control service delivery ensuring that the procedures put in place are effective and properly implemented
  • Play a critical part in business expansion and growth of the business by “Delivery Driven sales” – change requests, identifying & building new use cases for RPA & AI implementation, etc.
  • To assist in pre-sales aspects (customer use cases/business analysis, POCs, demos, ROI creation, proposals, SOWs, etc.), working with sales and pre-sales teams for customers and alliance partners presentations/discussions, conducting events like webinars, etc.
  • To contribute to the product/platform & reusable assets building, planning-to-realisation lifecycle of Netlabs, in discussions with the senior leadership team
  • To plan & realise competency building of the team of junior developers, based on the BU plans & priorities, in discussions with the senior leadership team
  • Documenting project information and co-ordinate with account management and marketing teams to generate case studies
  • Contributing thought-leadership articles and content for whitepapers, blogs, POVs

 

Team Responsibilities:

  • Mentoring & retaining a high-performance team of junior developers
  • Assigning team responsibilities/work allocations, maintaining job descriptions, monitoring competency building, tasks and quality
  • Developing performance standards and communicating the Key Result Areas (KRAs)
  • Managing performance by periodic reviews, appraisals and motivating people through rewards, incentives and recognition policies in line with company’s HR policies
  • General administrative supervision of all team members

 

Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
3 - 5 yrs
₹12L - ₹20L / yr
skill iconPython
CI/CD
DVCS
skill iconMachine Learning (ML)
skill iconKubernetes
+4 more

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls 


Your Roles and Responsibilities

We are looking for an experienced MLOps Engineer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be a key member of a team in decision making, implementations, development and advancement of ML operations of the core AI platform.

 

 

Roles and Responsibilities:

  • Work closely with a cross functional team to serve business goals and objectives.
  • Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
  • Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform. 
  • Build and maintain code, tools, packages in cloud

Requirements:

  • At Least 2+ years of experience in Data engineering 
  • At Least 3+ yr experience in Python with familiarity in popular ML libraries.
  • At Least 2+ years experience in model serving and pipelines
  • Working knowledge of containers like kubernetes , dockers, in AWS
  • Design distributed systems deployment at scale
  • Hands-on experience in coding and scripting
  • Ability to write effective scalable and modular code.
  • Familiarity with Git workflows, CI CD and NoSQL Mongodb
  • Familiarity with Airflow, DVC and MLflow is a plus
Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
2 - 5 yrs
₹6L - ₹20L / yr
Computer Vision
Image Processing
skill iconDeep Learning
skill iconMachine Learning (ML)

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, and the Spinal Kinetics as our partners.

 

Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

 

Requirements:

  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet deadlines
  • End to end deployment of deep learning models.
Read more
Avanze Technologies

at Avanze Technologies

2 recruiters
Rekha G
Posted by Rekha G
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹14L / yr
skill iconPython
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Image Processing
+6 more

Job Description –Sr. Python Developer


Job Brief

The job requires Python experience as well as expertise with AI/ML. This Developer is expected to have strong technical skills, to work closely with the other team members in development and managing key projects. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Job Requirement

  • 4 plus Years of Python relevant experience 
  • Good at communication skills and Email etiquette
  • Quick learner and should be a team player
  • Experience in working on python framework
  • Experience in Developing With Python & MySQL on LAMP/LEMP Stack
  • Experience in Developing an MVC Application with Python
  • Experience with Threading, Multithreading and pipelines
  • Experience in Creating RESTful API’s With Python in JSON, XMLs
  • Experience in Designing Relational Database using MySQL And Writing Raw SQL Queries
  • Experience with GitHub Version Control
  • Ability of Write Custom Python Code
  • Excellent working knowledge of AI/ML based application
  • Experience in OpenCV/TensorFlow/ SimpleCV/PyTorch
  • Experience working in agile software development methodology
  • Understanding of end-to-end ML project lifecycle
  • Understanding of cross platform OS systems like Windows, Linux or UNIX with hands-on working experience

Responsibilities

  • Participate in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
  • Produce high quality, maintainable code with great test coverage
  • Integration of user-facing elements developed by front-end developers
  • Build efficient, testable, and reusable Python/AI/ML modules
  • Solve complex performance problems and architectural challenges
  • Help with designing and architecting the product
  • Design and develop the web application modules or APIs
  • Troubleshoot and debug applications.
Read more
Digitectura Technologies Private Limited
Bengaluru (Bangalore)
0 - 2 yrs
₹3L - ₹5L / yr
skill iconPython
skill iconC
Image Processing
skill iconC++
skill iconMachine Learning (ML)
+2 more

Require Someone skilled in python / C/C++ to work on new products and also support existing AI based products . 


Should be open to learning new frameworks

Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
4 - 8 yrs
₹20L - ₹45L / yr
SVM
OpenCV
skill iconMachine Learning (ML)
skill iconDeep Learning
Artificial Intelligence (AI)
+6 more

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

 

Your Roles and Responsibilities

Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.

The role involves computer vision tasks including development customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.), and traditional Image Processing (OpenCV, etc.). The role is research-focused and would involve going through and implementing existing research papers, deep dive of problem analysis, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

 

 

Primary Responsibilities

  • Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
  • Formulate and design AI capabilities of our stack with special focus on computer vision.
  • Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
  • Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
  • Organize regular reviews and discussions.
  • Keep the team up-to-date with latest industrial and research updates.
  • Publish research and clinical validation papers

 

Requirements

  • 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
  • Prior experience in leading and managing a team.
  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Background in publishing research papers and/or patents 
  • Computer Vision and AI Research background in medical domain will be a plus
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet the deadline
Read more
Igeeks Technologies
Bengaluru (Bangalore)
0 - 1 yrs
₹1000 - ₹3000 / mo
skill iconMachine Learning (ML)
Internet of Things (IOT)
Web Development

INTERNSHIPS FOR BE/B TECH 6TH AND 7TH SEMESTER STUDENTS


Igeeks is India's no.1 internship platform with 10000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is here to help bridgethe gap between a students’ classroom environment and their workplace atmosphere.

Igeeks provide internship training on latest cutting edge technologies in the industry for easy placements of students. We provide hands-on experience on our real

time projects to expose the students on the real world challenges and industry standards of implementing a project.


Igeeks provides uniquely designed learning experiences with certified internship program in india for engineering students.



As per University standards igeeks technologies offering internships For B.E Students (ECE / TCE / EEE / CSE / ISE / MECH) . Registrations are already started


for Intern in Embedded With IOT , Intern in IOT , Intern in JAVA , Intern in Python ML. Interested students can contact us


Internship will be conducted as per industry standards and it will be completely hands on training.


INTERNSHIP/ INDUSTRIAL TRAINING


DURATION 4 WEEKS.


Internship cum Training program schedule:

8th January 2024



BENEFITS:

TRAINING FROM INDUSTRY EXPERTS

WORK ON REAL TIME PROJECTS

COMPANY CERTIFICATION

HANDS ON EXPERIENCE

PROJECT REPORT MATERIALS.

MINI PROJECT

8TH SEM IEEE PROJECT ASSISTANCE

Registration:

Registration started from 15/12/2023


How to register?


Igeeks Internship WhatsApp Group

Interested candidates *join the WhatsApp group* to know more information

https://chat.whatsapp.com/EUUtZlYSvrbGPxSTUKEJCA



Igeeks Internship Application Form,Fill the Application

https://forms.gle/pGA8KDDiLSWxdTnf9


For more information refer official website here: www.igeekstechnologies.com

Read more
Levelup11

at Levelup11

1 video
1 recruiter
Javed Kunwar
Posted by Javed Kunwar
Mumbai, Bengaluru (Bangalore)
2 - 8 yrs
₹6L - ₹18L / yr
skill iconPython
skill iconDjango
skill iconAmazon Web Services (AWS)
skill iconPostgreSQL
NumPy
+3 more
 Responsibilities :    
  • Writing efficient, reusable, testable, and scalable code
  • Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
  • Integration of user-oriented elements into different applications, data storage solutions
  • Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
  • Designing and implementing – High availability and low latency applications, data protection and security features
  • Performance tuning and automation of application
  • Working with Python libraries like Pandas, NumPy, etc.
  • Creating predictive models for AI and ML-based features
  • Keeping abreast with the latest technology and trends
  • Fine-tune and develop AI/ML-based algorithms based on results



Technical Skills-

Good proficiency in,

  • Python frameworks like Django, etc.
  • Web frameworks and RESTful APIs
  • Core Python fundamentals and programming
  • Code packaging, release, and deployment
  • Database knowledge
  • Circles, conditional and control statements
  • Object-relational mapping
  • Code versioning tools like Git, Bitbucket

 

Fundamental understanding of,

  • Front-end technologies like JS, CSS3 and HTML5
  • AI, ML, Deep Learning, Version Control, Neural networking
  • Data visualization, statistics, data analytics
  • Design principles that are executable for a scalable app
  • Creating predictive models
  • Libraries like Tensorflow, Scikit-learn, etc
  • Multi-process architecture
  • Basic knowledge about Object Relational Mapper libraries
  • Ability to integrate databases and various data sources into a unified system
  • Basic knowledge about Object Relational Mapper libraries
  • Ability to integrate databases and various data sources into a unified system



Read more
Amagi Media Labs

at Amagi Media Labs

3 recruiters
Rajesh C
Posted by Rajesh C
Bengaluru (Bangalore), Chennai
10 - 14 yrs
₹40L - ₹60L / yr
Engineering Management
skill iconPython
Spark
skill iconJava
Big Data
+3 more

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

Read more
Flatworld Solutions

at Flatworld Solutions

1 video
5 recruiters
Sheela D
Posted by Sheela D
Bengaluru (Bangalore)
4 - 6 yrs
₹7L - ₹10L / yr
uipath
RPAS
Robotic Process Automation
Process automation
skill iconC#
+9 more
  • Strong technical skills on UiPath, and end to end UiPath offerings
  • Understanding of workflow-based logic and hands on experience with RE-framework.
  • Excellent communication skill is a must
  • Basic programming/Scripting knowledge on VBA/VB/java/C# script is must
  • Knowledge in cognitive automation with OCR tools, AI/ML skills is a plus.
  • Excellent software development background with any of the following (C#, C++, Java, .NET) is a plus
  • Experience working on other RPA tools/vendors is a plus
  • Experience in the field of Bot development
  • UiPath RPA developer advanced certificate must.
Read more
Amagi Media Labs

at Amagi Media Labs

3 recruiters
Rajesh C
Posted by Rajesh C
Chennai, Bengaluru (Bangalore)
10 - 13 yrs
₹30L - ₹50L / yr
Engineering Management
Engineering Manager
skill iconMachine Learning (ML)
skill iconDeep Learning
skill iconPython
+2 more
Job Title: Engineering Manager
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Read more
Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
3 - 10 yrs
₹6L - ₹12L / yr
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
skill iconDeep Learning
Program Management
+5 more

Sizzle is an exciting new startup in the world of gaming. At Sizzle, we’re building AI to automatically create highlights of gaming streamers and esports tournaments. 


For this role, we're looking for someone that loves to play and watch games, and is eager to roll up their sleeves and build up a new gaming platform. Specifically, we’re looking for a technical program manager - someone that can drive timelines, manage dependencies and get things done. You will work closely with the founders and the engineering team to iterate and launch new products and features. You will constantly report on status and maintain a dashboard across product, engineering, and user behavior. 

You will:

  • Be responsible for speedy and timely shipping of all products and features
  • Work closely with front end engineers, product managers, and UI/UX teams to understand the product requirements in detail, and map them out to delivery timeframes
  • Work closely with backend engineers to understand and map deployment timeframes and integration into pipelines
  • Manage the timeline and delivery of numerous A/B tests on the website design, layout, color scheme, button placement, images/videos, and other objects to optimize time on site and conversion
  • Keep track of all dependencies between projects and engineers
  • Track all projects and tasks across all engineers and address any delays.  Ensure tight coordination with management.

 

You should have the following qualities:

  • Strong track record of successful delivery of complex projects and product launches
  • 2+ years of software development; 2+ years of program management
  • Excellent verbal and communication skills
  • Deep understanding of AI model development and deployment
  • Excited about working in a fast-changing startup environment
  • Willingness to learn rapidly on the job, try different things, and deliver results
  • Bachelors or masters degree in computer science or related field
  • Ideally a gamer or someone interested in watching gaming content online

 

Skills:

Technical program management, ML algorithms, Tensorflow, AWS, Python

 

Work Experience:  3 years to 10 years

Read more
Global SaaS product built to help revenue teams. (TP1)

Global SaaS product built to help revenue teams. (TP1)

Agency job
via Multi Recruit by Kavitha S
Bengaluru (Bangalore)
2 - 5 yrs
₹30L - ₹40L / yr
Data Scientist
skill iconData Science
skill iconMachine Learning (ML)
  • You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
  • Ability to collaborate with cross-functional teams to build and ship new features
  • At least 2-5 years of experience
  • Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering. 
  • Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization. 
  • Analytics Tools – R, Python, SQL, Power BI, MS Excel.
Read more
Understands the Customer Service. (CO1)

Understands the Customer Service. (CO1)

Agency job
via Multi Recruit by Paramesh P
Bengaluru (Bangalore)
2 - 6 yrs
₹7L - ₹9L / yr
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconDeep Learning
skill iconPython

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

 

KEY RESPONSIBILITIES OF THE POSITION :

  • Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
  • Solid understanding and experience of deep learning architectures and algorithms
  • Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
  • Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
  • Should have experience of 2-3 production implementations of machine learning projects.
  • Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
  • Work with business analysts/consultants and other necessary teams to create a strong solution
  • Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
  • Should developing solutions using python in AI/ML projects
  • Should be able to train and build a team of technical developers
  • Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
  • Desired to have knowledge on any of the cloud solutions such as Azure or AWS
  • Desired to have knowledge on any of container technology such as Docker
  • Should be able to build strong relationships with project stakeholders


Keywords:

  • Python
  • Artificial Intelligence
  • Machine Learning
  • AWS
  • Django
  • NLP
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Vernacular.ai

at Vernacular.ai

3 recruiters
Abhishek Ekka
Posted by Abhishek Ekka
Bengaluru (Bangalore)
1 - 3 yrs
₹5L - ₹15L / yr
skill iconMachine Learning (ML)
skill iconDeep Learning

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

 

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

  • Spoken Language Understanding and Dialog Management.
  • Language semantics, parsing, and modeling across multiple languages.
  • Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
  • Response Generation and Speech Synthesis.
  • Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

  • Design, build and evaluate Machine Learning solutions.
  • Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
  • Study, implement and extend state of the art systems.
  • Take part in regular research reviews and discussions.
  • Build, maintain and extend our open source solutions in the domain.
  • Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

  • Practical Machine Learning experience as demonstrated by earlier works.
  • Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
  • Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
  • Git portfolios and blogs are helpful as they let us better evaluate your work.

 

Applicant and Candidate Privacy Policy
 
This policy explains:
  • What information we collect during our application and recruitment process and why we collect it;
  • How we use that information; and
  • How to access and update that information.
Types of information we collect
This policy covers the information you share with Skit (Cyllid Technologies Pvt. Ltd.) during the application or recruitment process including:
  • Your name, address, email address, telephone number and other contact information;
  • Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
  • Information from interviews and phone-screenings you may have, if any;
  • Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
  • Details of how you heard about the position you are applying for;
  • Reference information and/or information received from background checks (where applicable), including information provided by third parties;
  • Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
  • Information related to any assessment you may take as part of the interview screening process.
How we use information we collect
Your information will be used by Skit for the purposes of carrying out its application and recruitment process which includes:
  • Assessing your skills, qualifications and interests against our career opportunities;
  • Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
  • Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
  • Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
  • Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
  • Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.
Read more
Material Depot

at Material Depot

1 recruiter
Sarthak Agrawal
Posted by Sarthak Agrawal
Hyderabad, Bengaluru (Bangalore)
2 - 6 yrs
₹12L - ₹20L / yr
skill iconData Science
skill iconMachine Learning (ML)
skill iconDeep Learning
skill iconR Programming
skill iconPython
+1 more

Job Description

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

In this role, you will:

  • Extensive knowledge in machine learning and deep learning techniques
  • Solid background in image processing/computer vision
  • Experience in building datasets for computer vision tasks
  • Experience working with and creating data structures / architectures
  • Proficiency in at least one major machine learning framework
  • Experience visualizing data to stakeholders
  • Ability to analyze and debug complex algorithms
  • Good understanding and applied experience in classic 2D image processing and segmentation
  • Robust semantic object detection under different lighting conditions
  • Segmentation of non-rigid contours in challenging/low contrast scenarios
  • Sub-pixel accurate refinement of contours and features
  • Experience in image quality assessment
  • Experience with in depth failure analysis of algorithms
  • Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
  • Mentor and support other technical team members in the organization
  • Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
  • Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

How you will do this:

  • You’re part of an agile, multidisciplinary team.
  • You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
  • You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
  • You experiment, test, try, fail, and learn continuously.
  • You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

For this role, you must have:

  • Strong knowledge of and experience with the functional programming paradigm.
  • Experience conducting code reviews, providing feedback to other engineers.
  • Great communication skills and a proven ability to work as part of a tight-knit team.
Read more
Amagi Media Labs

at Amagi Media Labs

3 recruiters
Rajesh C
Posted by Rajesh C
Bengaluru (Bangalore)
8 - 15 yrs
₹25L - ₹55L / yr
Product Management
skill iconAmazon Web Services (AWS)
Datawarehousing
Product Manager
Big Data
+3 more

Sr Product Manager / Lead Product Manager – Data Platform

 

Description:

At Amagi we are looking for a product leader to build world class big data and analytics platform to help our teams in making data driven decisions and to accelerate our business outcomes.

We are looking for someone who is innovative and experienced in end-to-end product management to drive our long-term data and analytics strategy.

 

The ideal candidate would be responsible for owning product roadmap and KPIs, driving product operational tasks to ensure configurable and scalable solutions.

 

Primary Responsibilities:

  • Lead the product requirements to build real time, highly scalable, low latency data platform.
  • Author PRD and define the strategic roadmap.
  • Lead the Product design, MVPs and POCs and fast track deliveries
  • Collaborate with various functions and design the most effective solutions.
  • Understand customer needs and define the data solutions and insights to drive business outcomes
  • Define key product performance metrices to drive business and customer outcomes

 

Basic Qualification

  • 12+ years of overall SDLC experience with 7+ years of product management experience in fast paced company.
  • Proven experience delivering large scale highly available big data processing systems.
  • Knowledge of data pipeline design, data transformation and integration methodologies.
  • Technically savvy with experience in big data systems like AWS, RedShift, Athena, Kafka and related technologies
  • Demonstrate collaborative approach and ability to work with distributed, cross functional teams.
  • Experience in taking products through full life cycle, from proposal to launch
  • Strategic thinking capabilities to define the product roadmap and right prioritization of the backlog in line with the long-term vision
  • Strong communication and stakeholder management skills with the ability to coordinate across a diverse group of technical and non-technical stakeholders.
  • Ability to deal with ambiguity and use data to solve ambiguous problems
  • Technical ability to understand and discuss software architecture, product integration, non-functional requirements etc. with the Engineering team.

 

Preferred Qualification:

  • Technically savvy with good understanding of cloud application development.
  • Software development experience building Enterprise platforms
  • Experience in third-party vendor assessments
  • Experience working with AI , ML , Bigdata and analytics tools
  • Understanding of regulations such as data privacy, data security and governance
Read more
AI-powered cloud-based SaaS solution provider

AI-powered cloud-based SaaS solution provider

Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 12 yrs
₹10L - ₹25L / yr
Recruitment/Talent Acquisition
Recruitment
LinkedIn
Sourcing
Boolean search
+5 more
I'm Naveen from Wrackle Technologies. I would like to have a word with you in regards to the Talent Acquisition Partner opening we have right now at one of our client's Bidgely. With your knowledge of Talent Acquisition, Sourcing, Hiring, Recruitment, Employer branding, Campus hiring you seem like a great fit!
 
Job Description :
 
Bidgely is looking for extraordinary and dynamic Talent Acquisition professionals to be part of its core team in Bangalore. The ideal candidate must have experience in all areas related to the human resources field.
Responsibilities :
  • Manage end to end recruitment activities by sourcing the best talent from diverse sources and handle the entire Talent management right from joining to exit
  • Strong network within product companies/startups
  • Work with Marketing Team and execute ways to strengthen our brand awareness
  • Review and benchmark the internal and external environment to improve HR/Talent Management
  • Provide excellent candidate experience at each stage of the hiring process
  • Provide Analytical and well-documented reports to the hiring managers.
Requirements :
  • 3+ years experience in Product/Start-Up companies is a must
  • Ability to network and strong interpersonal skills
  • Worked on positions like Data Scientist, Engineering Manager, SDET, DevOps.
  • Good track record of conversions
  • Excellent Written Communication!
  • An open-minded and positive attitude
  • Adaptable and able to fit into the work environment of a fast-growing start-up
  • Strong sense of ethical responsibility
  • Skilled at spreading a good vibe
  • Notice Period should be lesser than one month
 
Kindly share the following details with your updated resume. 
 
Highest Qualification -
Total Years of Experience -
Relevant Years of Experience -
Experience in hiring Data scientists, DevOps, SDE, SDET, etc -
Current Company -
Current Designation -
Current CTC (Fixed + Variable) -
Expected CTC -
Reason for change -
Notice Period - 


Read more
Statusneo

at Statusneo

6 recruiters
Yashika Sharma
Posted by Yashika Sharma
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr
skill iconData Science
Computer Vision
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconPython
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
Hyderabad, Bengaluru (Bangalore), Delhi
2 - 5 yrs
₹3L - ₹8L / yr
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconPython
Agile/Scrum
Job Description

Artificial Intelligence (AI) Researchers and Developers

Successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products and intelligent 3D interface. Candidates will work on cutting edge products and technologies in highly challenging domains and will need to have highest level of commitment and interest to learn new technologies and domain specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods

Education Qualification: Bachelor, Master or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills

Location : Hyderabad, Bengaluru, Delhi, Client Location (as needed)

Skillset and Expertise
• Strong software development experience using Python
• Strong background in mathematical, numerical and scientific computing using Python.
• Knowledge in Artificial Intelligence/Machine learning
• Experience working with SCRUM software development methodology
• Strong experience with implementing Web services, Web clients and JSON protocol is required
• Experience with Python Meta programming
• Strong analytical and problem-solving skills
• Design, develop and debug enterprise grade software products and systems
• Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools
• Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local
Indian languages
• Ability to effectively communicate product design, functionality and status to management, customers and other stakeholders
• Highest level of integrity and work ethic

Frameworks
1. Scikit-learn
2. Tensorflow
3. Keras
4. OpenCV
5. Django
6. CUDA
7. Apache Kafka

Mathematics
1. Advanced Calculus
2. Numerical Analysis
3. Complex Function Theory
4. Probability

Concepts (One or more of the below)
1. OpenGL based 3D programming
2. Cryptography
3. Artificial Intelligence (AI) Algorithms a) Statistical modelling b.) DNN c. RNN d. LSTM e.GAN f. CN
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A  global business process management company

A global business process management company

Agency job
via Jobdost by Saida Jabbar
Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹20L - ₹22L / yr
skill iconData Science
Kofax
Data Scientist
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

 

Read more
With a leading Business Process Management (BPM) company

With a leading Business Process Management (BPM) company

Agency job
via Jobdost by Saida Jabbar
Mumbai, Pune, Bengaluru (Bangalore)
2 - 10 yrs
₹5L - ₹16L / yr
Microsoft Windows Azure
ASP.NET
Windows Azure
skill iconMachine Learning (ML)
SQL server
+12 more


Azure Chatbot Developer

Location :Bangalore / Mumbai / Pune

Job Description

Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle

f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.

g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET

i) Knowledge of Python and NodeJS is a plus

j) Ability to design and optimize SQL Server 2008 stored procedures.

k) Experience with JQuery, CSS3, HTML5 or similar technologies.

l) Ability to adapt quickly to an existing, complex environment.

Read more
Yottaasys AI LLC

at Yottaasys AI LLC

5 recruiters
Vinayak sg
Posted by Vinayak sg
Bengaluru (Bangalore)
1 - 5 yrs
₹6L - ₹15L / yr
skill iconData Science
Data Scientist
skill iconPython
Computer Vision
Keras
+7 more
Description
Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
Read more
LodgIQ

at LodgIQ

1 video
1 recruiter
Sougata Chatterjee
Posted by Sougata Chatterjee
Remote, Bengaluru (Bangalore)
3 - 12 yrs
₹10L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Data Scientist
skill iconPython
skill iconMongoDB
+1 more

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist


Job Description:

  • Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels
  • Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
  • Help scale up the product in a global offering across 100+  global markets

Qualifications:

  • Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
  • At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
  •   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
  •   Solid grasp over  optimization techniques
  •   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
  •   Ability to show a track record of solving large, complex problems
Read more
App-based lending platform. ( AF1)

App-based lending platform. ( AF1)

Agency job
via Multi Recruit by Ayub Pasha
Bengaluru (Bangalore)
2 - 5 yrs
₹25L - ₹28L / yr
skill iconData Science
skill iconMachine Learning (ML)
Data Scientist
skill iconPython
Logistic regression
+2 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

 

Requirements:

  • 2+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

 

Read more
App-based lending platform. ( AF1)

App-based lending platform. ( AF1)

Agency job
via Multi Recruit by Ayub Pasha
Bengaluru (Bangalore)
1 - 2 yrs
₹15L - ₹17L / yr
skill iconMachine Learning (ML)
skill iconData Science
Data Scientist
skill iconPython
pandas
+4 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

Requirements:

  • 1+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

Read more
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