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Computer Vision Jobs in Bangalore (Bengaluru)

49+ Computer Vision Jobs in Bangalore (Bengaluru) | Computer Vision Job openings in Bangalore (Bengaluru)

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Bengaluru (Bangalore)
6 - 12 yrs
₹25L - ₹35L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep 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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Tier #1 MNC
Chennai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Coimbatore, Kochi (Cochin)
4 - 10 yrs
Best in industry
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning

Job Description:

 

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model


2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge


3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines


4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 


5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms


6.Optimize and tune Deep Learnings model for best possible accuracy


7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau


8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment


9.Integrating AI&ML models with other applications using REST APIs and other connector technologies


10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

 

 

· Technology/Subject Matter Expertise

  • Sufficient expertise in machine learning, mathematical and statistical sciences
  • Use of versioning & Collaborative tools like Git / Github
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
  • Develop prototype level ideas into a solution that can scale to industrial grade strength
  • Ability to quantify & estimate the impact of ML models.

 

· Softskills Profile

  • Curiosity to think in fresh and unique ways with the intent of breaking new ground.
  • Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

 

 

· Desirable Experience:

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Optimize and tune deep learning model for best possible accuracy
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy will be important
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
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Tiger Analytics
Chennai, Bengaluru (Bangalore)
4 - 8 yrs
₹6L - ₹20L / yr
Machine Learning (ML)
Neural networks
Computer Vision
Deep 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
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Tiger Analytics
Bengaluru (Bangalore), Chennai, Hyderabad
2 - 5 yrs
₹2L - ₹10L / yr
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.


Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.


Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.


Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers


Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field


● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

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Sahaj AI Software

at Sahaj AI Software

1 video
6 recruiters
Pavithra RM
Posted by Pavithra RM
Remote, Pune, Bengaluru (Bangalore), Chennai, Hyderabad
7 - 18 yrs
₹30L - ₹80L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
large language model

Job Description 

Data scientist with 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 specialization 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 organization. 

● Selecting features, building and optimizing 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 categorize 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 

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

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 visualization tools will be of great advantage

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Prismforce

at Prismforce

1 recruiter
Shivali Kaul
Posted by Shivali Kaul
Bengaluru (Bangalore), Pune, Mumbai, Kolkata
3 - 6 yrs
₹20L - ₹50L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Responsibilities:

  • Identify relevant data sources - a combination of data sources to make it useful.
  • Build the automation of the collection processes.
  • Pre-processing of structured and unstructured data.
  • Handle large amounts of information to create the input to analytical Models.
  • Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
  • Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
  • Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
  • Participate in Problem solving sessions

Requirements:

  • Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
  • Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
  • Strong math skills (e.g. statistics , algebra)
  • Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
  • Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
  • Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

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Prismforce

at Prismforce

1 recruiter
Jyoti Moily
Posted by Jyoti Moily
Bengaluru (Bangalore)
5 - 8 yrs
₹20L - ₹25L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.


We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

Responsibilities:

  • Identify relevant data sources - a combination of data sources to make it useful.
  • Build the automation of the collection processes.
  • Pre-processing of structured and unstructured data.
  • Handle large amounts of information to create the input to analytical Models.
  • Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
  • Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
  • Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
  • Participate in Problem solving sessions

Requirements:

  • Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
  • Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
  • Strong math skills (e.g. statistics , algebra)
  • Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
  • Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
  • Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com


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globe teleservices
deepshikha thapar
Posted by deepshikha thapar
Bengaluru (Bangalore)
4 - 7 yrs
₹4L - ₹10L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Requirement understanding and elicitation, analysis, data/workflows, contribution to product

projects and Proof of concept (POC)

 Contribute to preparing design documents and effort estimations.

 Develop AI/ML Models using best-in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

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Expand My Business
Bengaluru (Bangalore)
5 - 10 yrs
₹12L - ₹28L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Requirements

Experience:

  • 5-8 years of working experience in ML/Data science preferably from remote sensing background.
  • Experience in leading a team of both data scientist and machine learning engineers to solve challenging problems preferably in the Infrastructure and Utilities domain using geospatial & remote sensing data.
  • Statistical knowledge along with great proficiency in python
  • Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
  • Experience combining user research and data science methodologies across multiple products within the business unit.
  • Must have delivered multiple data science product(s) in production.

Minimum qualification:

  • Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.

Competencies:

  • Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, technical experts, building solid relationships with a diverse set of stakeholders.
  • The ability to convey complex solutions to a less technical person.
  • Vast analytical problem-solving capabilities & experience.
  • Bias for action.
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Bengaluru (Bangalore)
5 - 9 yrs
₹10L - ₹18L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+10 more

Requirements

Experience

  • 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
  • Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
  • Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
  • Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
  • Experience with GPU computing to do data and model training parallelism.
  • Solid software engineering skills in developing systems for production.
  • Strong expertise in Python.
  • Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
  • Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
  • Having Geospatial / Remote sensing experience is a plus.
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JK Technosoft Ltd
Nishu Gupta
Posted by Nishu Gupta
Bengaluru (Bangalore)
3 - 5 yrs
₹5L - ₹15L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+13 more

Roles and Responsibilities:

  • Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
  • Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
  • Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
  • Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

  • 3-6 years of MLOps experience
  • Preferably worked in the startup ecosystem

Primary Skills:

  • Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
  • Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
  • Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
  • DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

  • Version Control Systems (VCS) tools like Git and Subversion
  • Containerization technologies like Docker and Kubernetes
  • Cloud Platforms like AWS, Azure, and Google Cloud Platform
  • Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
  • Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
  • Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
  • Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
  • Explain ability and Interpretability tools like LIME and SHAP


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MindTickle

at MindTickle

1 video
11 recruiters
Shama Afroj
Posted by Shama Afroj
Pune, Bengaluru (Bangalore)
6 - 10 yrs
₹30L - ₹65L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+6 more

About Us


Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.


With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.



Job Brief


We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.


Credibility:

  • You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
  • You have the ability to directly connect business problems to research problems along with the latest emerging technologies.


Strategic Responsibility:

  • To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc. 
  • To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
  • To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
  • To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
  • To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
  • To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
  • To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
  • To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.


Personality:

  • Requires excellent communication skills – written, verbal, and presentation.
  • You should be a team player.
  • You should be positive towards problem-solving and have a very structured thought process to solve problems.
  • You should be agile enough to learn new technology if needed.


Qualifications:

  • B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
  • 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
  • Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
  • Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
  • Working knowledge of Amazon Web Services(AWS).
  • Experience with Docker and Kubernetes will be a plus.
  • Experience with Natural Language Processing, Recommendation Systems, or Search Engines.


Our Culture


As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.


Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.


To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&;t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s


To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos



Mindtickle is proud to be an Equal Opportunity Employer


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.


Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

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Diagnokare Technologies
Bengaluru (Bangalore)
1 - 2 yrs
₹8.5L - ₹9.5L / yr
React.js
Python
Computer Vision
Natural Language Processing (NLP)
Data Science
+1 more

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.


Your responsibilities:

  • Design and develop full-stack web applications for PoC.
  • Implement computer vision and NLP based deep learning models.
  • Participate in client meetings and refine product capabilities.


Essential requirements:

  • Interested in working at startups.
  • Ability to work independently.
  • Experienced in developing full-stack web applications.
  • Strong command over React and Python.
  • Good experience with Data Science.
  • Comfortable with ambiguity and frequent changes to project scope in innovation environment.


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Cubera Tech India Pvt Ltd
Surabhi Koushik
Posted by Surabhi Koushik
Bengaluru (Bangalore)
2 - 3 yrs
₹24L - ₹35L / yr
Data Science
Machine 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
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Python
+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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css corp
Agency job
via staff hire solutions by Purvaja Patidar
Bengaluru (Bangalore)
1 - 3 yrs
₹10L - ₹11L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+9 more
Design and implement cloud solutions, build MLOps on cloud (GCP) Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools; Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality. Data science models testing, validation and test automation. Communicate with a team of data scientists, data engineers and architects, and document the processes. Required Qualifications: Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, a good understanding of Linux, and knowledge of frameworks such as sci-kit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Fluent in English, good communication skills and ability to work in a team. Desired Qualifications: Bachelor’s degree in Computer Science or Software Engineering Experience in using GCP services. Good to have Google Cloud Certification
Read more
Tredence
Bengaluru (Bangalore), Chennai, Gurugram, Pune
5 - 8 yrs
₹20L - ₹28L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Roles and Responsibilities:
As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.

• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies

Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
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REConnect Energy

at REConnect Energy

2 recruiters
Bhavya Das
Posted by Bhavya Das
Bengaluru (Bangalore)
0 - 3 yrs
₹8L - ₹15L / yr
Object Oriented Programming (OOPs)
Image Processing
Computer Vision
Python
pandas
+7 more

Job Profile: The job profile requires an inter-disciplinary approach to solving technical problems whilst also understanding the business requirements. Knowledge of the power and energy sector and a strong interest in solving national and global energy challenges is a must. This position will involve:


  • Developing and maintaining SaaS products for the power and energy sector.
  • Working with team members to handle day to day operations and product management tasks.
  • Applying Machine Learning techniques to power and energy related data sets. 
  • Identification and characterization of complex relationships between multiple weather parameters and renewable energy generation.
  • Providing inputs for new product development and improvements to existing products and services.

Requirements:


  • Educational Qualification: B.Tech/B.E. Electrical and Electronics Engineering/Software Engineering/Mathematics and Computer Science.
  • 1-2 years experience writing code independently in any object oriented programming language. Knowledge of python and its packages is highly preferable (numpy, pandas, keras, OpenCV, sci-kit). 
  • Demonstrable experience of project work (academic/internship/job) 
  • Ability to work on broad objectives and go from business requirements to code independently. 
  • Ability to work independently under minimal supervision and in a team; 
  • Preferable to have some understanding of power systems concepts (Power Generation Technologies, Transmission and Distribution, Load Flow, Renewable Energy Generation, etc.)
  • Experience working with large data sets and manipulating data to find relationships between variables. 

 

Read more
Bengaluru (Bangalore), Gurugram
2 - 8 yrs
₹10L - ₹35L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Python
+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
Read more
RandomTrees

at RandomTrees

1 recruiter
HariPrasad Jonnalagadda
Posted by HariPrasad Jonnalagadda
Remote, Hyderabad, Bengaluru (Bangalore)
9 - 20 yrs
₹10L - ₹15L / yr
Natural Language Processing (NLP)
Data Science
Machine Learning (ML)
Computer Vision
recommendation algorithm

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

Read more
Cloudbloom Systems LLP

at Cloudbloom Systems LLP

5 recruiters
Sahil Rana
Posted by Sahil Rana
Bengaluru (Bangalore)
6 - 10 yrs
₹13L - ₹25L / yr
Machine Learning (ML)
Python
Data Science
Natural Language Processing (NLP)
Computer Vision
+3 more
Description
Duties and Responsibilities:
 Research and Develop Innovative Use Cases, Solutions and Quantitative Models
 Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
 Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
 Provide R&D support to productize research prototypes.
 Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
 Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
 Team Management Skills
Academic Qualification
 7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
 Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
 Innovative and creative in data analysis, problem solving and presentation of solutions.
 Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
 Strong experience in handling multi-national client engagements
 Good verbal, writing & presentation skills
Core Expertise
 Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
 Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like  SQL
 Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests. 
 Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques. 
 Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
 Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
 Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
 Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
 Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
 Capability for continuous learning and knowledge acquisition.
 Mentor colleagues for growth and success
 Strong Software Engineering Background
 Hands-on experience with data science tools
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xpressbees
Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
Gormalone LLP

at Gormalone LLP

3 recruiters
Dhwani Rambhia
Posted by Dhwani Rambhia
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Data 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

 

 

 

 

Read more
TartanHQ Solutions Private Limited
Prabhat Shobha
Posted by Prabhat Shobha
Bengaluru (Bangalore)
2 - 4 yrs
₹9L - ₹15L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Python
+4 more

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

  • You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
  • You will be constantly assessing and improving the model using techniques like Transfer learning
  • You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
  • You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
  • Building predictive models and machine-learning algorithms to apply to data sets.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  •  
  • Presenting information using data visualization techniques and proposing solutions and strategies to business challenges


We would love to hear from you if :

  • You have 2+ years of experience as a software engineer at a SaaS or technology company
  • Demonstrable hands-on programming experience with Python/R Data Science Stack
  • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
  • Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
  • Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
  • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
  • Preferable Experience Experienced in web crawling and data scraping
  • Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
  • Experience with text mining, pattern matching and fuzzy matching

Why Tartan?
  • Brand new Macbook
  • Stock Options
  • Health Insurance
  • Unlimited Sick Leaves
  • Passion Fund (Invest in yourself or your passion project)
  • Wind Down
Read more
Dori AI

at Dori AI

5 recruiters
Nitin Gupta
Posted by Nitin Gupta
Bengaluru (Bangalore)
2 - 8 yrs
₹1L - ₹20L / yr
Data Science
Machine Learning (ML)
Computer Vision
Python
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
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
Deep Learning
Machine 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
Top 3 Fintech Startup
Agency job
via Jobdost by Sathish Kumar
Bengaluru (Bangalore)
4 - 7 yrs
₹11L - ₹17L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Python
+6 more
Responsible to lead a team of analysts to build and deploy predictive models to infuse core business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business
questions.

Lead a team through the entire analytical and machine learning model life cycle:

 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists
Read more
Fintech Company
Agency job
via Jobdost by Sathish Kumar
Bengaluru (Bangalore)
1 - 3 yrs
₹9L - ₹12L / yr
Python
SQL
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
+3 more
Job Responsibilities:

1+ years of proven experience in ML/AI with Python

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

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Bengaluru (Bangalore)
9 - 12 yrs
₹28L - ₹32L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Work Location - Bangalore

 

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

  • Build and enhance the software stack for modelling and data analytics
  • Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
  • Automate repetitive data modelling and analytics tasks
  • Keep up to date with available relevant technologies, to solve business problems
  • Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
  • Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
  • Share daily/weekly  progress made by the team
  • Work with senior stakeholders & drive the discussions independently
  • Mentor and lead a team of software developers on analytics related product development practices


Qualifications:

  • 10-13 years of data engineering experience.
  • Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
  • In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
  • Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
  • Intuitive with good interpersonal-skills, time-management and task-prioritization
  • Ability to lead a technical team of software developers and mentor them on good software development practices.
  • Ability to quickly grasp the business problem and nuances when put forth.
  • Ability to quickly put together an execution plan and see it through till closure.
  • Strong communication, presentation and influencing skills.


Education:

  • Bachelor’s/University degree or equivalent experience
  • Data Science or Analytics specialization preferred

 

 

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Fintech Company
Agency job
via Jobdost by Sathish Kumar
Bengaluru (Bangalore)
6 - 8 yrs
₹12L - ₹20L / yr
Machine Learning (ML)
Artificial Intelligence (AI)
Python
SQL
DevOps
+9 more

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.


Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists


Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)


 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus


Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark


Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

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Curl Tech
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 10 yrs
₹15L - ₹25L / yr
Deep Learning
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
+1 more

Company Name: Curl Tech

Location: Bangalore

Website: www.curl.tech

Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.

Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).

If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!

Designation: Data Scientist or Junior Data Scientist (according to experience)

Job Description:

Good with Machine Learning and Deep learning, good with programming and maths.

Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.

Responsibilities:

  • The candidate will be working on many image analytics/numerical data projects.

  • Candidate will be building various machine learning models depending upon the requirements.

  • Candidate would be responsible for deployment of the machine learning models.

  • Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.

    What we are looking for candidates with:

  • Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.

  • Proven code proficiency in Python,C/C++ or any other AI language of choice.

  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent

    research.

  • Understanding how things work internally in ML and DL models is a must.

  • Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.

  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a

    plus.

  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.

Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.

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Conversational AI- Product Development company
Bengaluru (Bangalore)
5 - 10 yrs
₹12L - ₹15L / yr
Artificial Intelligence (AI)
Chatbot
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
+2 more

Chatbot Developer

We are a Conversational AI- Product Development company which is located in the USA, Bangalore.

 

We are looking for a Senior Chatbot /Javascript Developer to join the Avaamo PSG(delivery) team.

 

Responsibilities:

  • Independent team member for analyzing requirements, designing, coding, and implementing  Conversation AI products.
  • Its a  product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution.
  • Drive solution implementation using the Conversational design approach.
  • Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements.
  • Conduct training and technical guidance sessions for partner and customer development teams.
  • Evaluating reported defects and the correction of prioritized defects.
  • Travel onsite to customer locations for close support.
  • Document how to's and implement best practices for Avaamo product solutions.

 

Requirements:

  • Strong programming experience in javascript, HTML/CSS.
  • Experience of creating and consuming REST APIs and SOAP services.
  • Strong knowledge and awareness of Web Technologies and current web trends.
  • Working knowledge of Security in Web applications and services.
  • experience in using the NodeJS framework with good understanding of the underlying architecture.
  • Experience of deploying web applications on Linux servers in production environment.
  • Excellent communication skills.

 

Good to haves:

  • Full stack experience UI and UX design experience or insights
  • Working knowledge of AI, ML and NLP.
  • Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.
  • Experience of building Single Sign On in web/mobile applications.
  • Ability to learn latest technologies and handle small engineering teams.
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Nexopay

at Nexopay

2 recruiters
Meenal Sharma
Posted by Meenal Sharma
Bengaluru (Bangalore)
2 - 4 yrs
₹3L - ₹13L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

  • Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
  • Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to predict outcomes and identify key drivers
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

 

Requirements:

  • Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
  • 2+ years of strong working knowledge of SQL language
  • Experience with visualization tools e. g., Tableau, Power BI
  • Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
  • Strong presentation and communication skills
  • Experience in education sector is a plus
  • Fluency in English
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Mirafra Technologies

at Mirafra Technologies

4 recruiters
shanmugapriya selvam
Posted by shanmugapriya selvam
Bengaluru (Bangalore)
3 - 5 yrs
₹10L - ₹15L / yr
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Machine Learning & Deep Learning – Strong

Experienced in TensorFlow, PyTorch, ONNX, Object Detection,  Pretrained Models like YOLO, SSD, Faster RCNN, etc…

Python – Strong

NumPy, Pandas, OpenCV

 

Problem Solving  - strong

 

C++ - average

        It will be good if candidate have working experience in C++ in any domain

Note :: Looking for Immediate to 30 days of Notice Period

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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
2 - 10 yrs
₹6L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Audio
+6 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 engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  


You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation


You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

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


Skills:

Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python


Work Experience:  2 years to 10 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg. 

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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
2 - 10 yrs
₹6L - ₹15L / yr
Data Science
Machine Learning (ML)
Computer Vision
Artificial Intelligence (AI)
TensorFlow
+4 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 engineer that is well versed with computer vision and AI technologies around image and video analysis.  


You will be responsible for:

  • Developing computer vision algorithms to detect key moments within popular online games
  • Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
  • Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
  • Specifying exact requirements for training data sets, and working with analysts to create the data sets
  • Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
  • Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

  • Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
  • Experience using Python, TensorFlow, OpenCV and other computer vision tools
  • Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
  • Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
  • Familiarity with AWS environments
  • 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

Skills:

Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python


Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.


Salary: Will be commensurate with experience. 


Who Should Apply:

If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
0 - 3 yrs
₹1.5L - ₹1.8L / yr
Data Analytics
Data Annotation
Natural Language Processing (NLP)
Computer Vision
data annotation

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. 


For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help generate training data for all the AI we are building. This will include gathering screenshots, clips and other data from gaming videos on Twitch and YouTube.  You will then be responsible for labeling and annotating them. You will work very closely with our AI engineers.


You will:

  • Gather training data as specified by the management and engineering team
  • Label and annotate all the training data
  • Ensure all data is prepped and ready to feed into the AI models
  • Revise the training data as specified by the engineering team
  • Test the output of the AI models and update training data needs

You should have the following qualities:

  • Willingness to work hard and hit deadlines
  • Work well with people
  • Be able to work remotely (if not in Bangalore)
  • Interested in learning about AI and computer vision
  • Willingness to learn rapidly on the job
  • Ideally a gamer or someone interested in watching gaming content online

Skills:

Data labeling, annotation, AI, computer vision, gaming


Work Experience:  0 years to 3 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg.
Read more
Material Depot

at Material Depot

1 recruiter
Sarthak Agrawal
Posted by Sarthak Agrawal
Hyderabad, Bengaluru (Bangalore)
2 - 6 yrs
₹12L - ₹20L / yr
Data Science
Machine Learning (ML)
Deep Learning
R Programming
Python
+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.
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Statusneo

at Statusneo

6 recruiters
Yashika Sharma
Posted by Yashika Sharma
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr
Data Science
Computer Vision
Natural Language Processing (NLP)
Machine Learning (ML)
Python
+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
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Yottaasys AI LLC

at Yottaasys AI LLC

5 recruiters
Vinayak sg
Posted by Vinayak sg
Bengaluru (Bangalore)
1 - 5 yrs
₹6L - ₹15L / yr
Data Science
Data Scientist
Python
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)
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HRS Navigation Pvt. Ltd.
Aanchal Jain
Posted by Aanchal Jain
Bengaluru (Bangalore)
2 - 6 yrs
₹5L - ₹20L / yr
C++
Embedded C++
Robotics
Augmented reality
Virtual reality (VR)
+2 more

Job Description: Senior Software Developer (Exp.2-6 years)


Location: Bangalore


What you need:

* Bachelor’s/Master’s degree is preferred in computer science or related field (such as computer       engineering, software engineering, biomedical engineering, or mathematical sciences) from premier institutes.

* 1-3 years of industry experience in professional software development.  

* Strong C++ knowledge.

* Knowledge of ITK / VTK / OpenCV / Robots / Qt Framework is plus.

* Required Technical Competencies in Algorithms and data structures object oriented design and analysis.

* Expertise in Design Patterns & C++ programming concepts; Linear Algebra, Computer Vision, Software design, development and verification methodologies would be preferred.

* Should be open to work in fast growing medical devices start-up making cutting edge computer assisted & robotic assisted surgery products in India for the world.

* Should have willingness to develop something great from India.

 

What you will do:

* Work with program manager to understand business requirement and translate that into technical design.

* Create and own leading edge reusable algorithm solutions.

* Create and own cross-platform SDKs.

* Research cutting-edge algorithms and techniques.

* Lead technical design and implementation of a feature.

* Implement high quality code with comprehensive unit testing.

* Troubleshoot issues raised from production and resolve customer problems.

* Evaluate and adopt technologies which improve the team efficiency and platform capability.

* Code review peer developers code and provide constructive feedbacks to ensure consistency and quality of code.

* Be a part of core R&D team for developing Surgical Robots.

* Ensures the integrity and security of company intellectual property and confidential data.


Company Profile

Happy Reliable Surgeries Pvt Ltd (HRS Navigation) started in 2015. It is India's first and only company to develop high tech surgical navigation system for highly complex Brain & Spine surgeries. Our products directly compete with world’s biggest medical devices companies. We are proudly one of the few global companies who have capabilities to develop Computer assisted and Robotic Assisted surgeries products. R&D Centre is based at Bangalore. It has been started by Ex of a global medical device company. It has been incubated & mentored by IIM Calcutta.

 

Why Do We Exist: - Currently all hi-tech medical devices are imported. Which leads to very high cost of healthcare & non reachability to common people. Our Purpose is to make premium healthcare affordable & accessible by continuous innovation for our people. We want to make India Proud.

 

Our Achievements: -

  • 10 Best start-up in Medical Devices (Insight Success Magazine)
  • Won Top 50 emerging product start-up NASSCOM 2017 (National Award)
  • Winners in Economic Power of Ideas award 2018 (IIM Ahmadabad) (National Award)
  • Winners in Smart Fifty competition conducted by IIM Calcutta (National Award)
  • Won Elevate 100, Karnataka top 100 company (State Award from Karnataka Government)
  • Grown Exponential even in 2020 financial Year. (No Salary Cuts / Firings)
  • 3000+ successful Surgeries performed by our products.
Read more
Remote, Bengaluru (Bangalore)
4 - 8 yrs
₹21L - ₹23L / yr
Machine Learning (ML)
Python
Deep Learning
ML Tools
NLP Tools
+2 more
  • Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
  • Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
  • Partner with data scientists to understand and implement machine learning algorithms. 
  • Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
  • Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
  • Mentor junior team members 

 

Who we have in mind:

  • Graduate in Computer Science or related field, or equivalent practical experience. 
  • 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
  • Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
  • Familiarity with deep learning frameworks such as TensorFlow or Keras
  • Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
  • Understand machine learning principles (training, validation, etc.) 
  • Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
  • Experience deploying highly scalable software supporting millions or more users 
  • Experience building applications on cloud  (AWS or Azure) 
  • Experience working in scrum teams with Agile tools like JIRA
  • Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

 

 

 

 

Read more
Bengaluru (Bangalore)
2 - 5 yrs
₹8L - ₹10L / yr
Data Science
Computer Vision
Machine Learning (ML)
  • Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
  • Build quick prototypes to check feasibility and value to the business.
  • Design, training, and deploying neural networks for computer vision and machine learning-related problems.
  • Perform various complex activities related to statistical/machine learning.
  • Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
  • Collaborate with technology teams to deploy the models to production.

 

Key Criteria:

  • 2+ years of experience in solving complex business problems using machine learning.
  • Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
  • Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
  • Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
  • Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
  • Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
  • Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
  • Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
  • Experience in data visualization software such as Tableau, ELK, etc is a plus.
  • Strong analytical, critical thinking, and problem-solving skills.
Qualifications:
  • B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
  • Minimum 60% in Graduation or Post-Graduation
  • Great interpersonal and communication skills
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Vestibulum Technologies Pvt Ltd
Srinivasan Saripalli
Posted by Srinivasan Saripalli
Bengaluru (Bangalore)
0.3 - 0.6 yrs
₹15000 - ₹25000 / mo
Data Science
Machine Learning (ML)
Deep Learning
Python
Computer Vision
+3 more
Hiring for Machine Learning Deep Learning, who have build solutions for computer vision ,nlp, Tensorflow, Pytorch, Tensorflow Lite for Android phone 
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Bidgely

at Bidgely

1 recruiter
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 8 yrs
₹20L - ₹40L / yr
Data Science
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Neural Network (ANN)
+6 more
Roles and Responsibilities

● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.

● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.

● Productize has proven or working models into production-quality code.

● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions

● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.

● File patents for innovative solutions that add to the company's IP portfolio

Requirements

● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.

● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)

● Experience in productizing models to code in a fast-paced start-up
environment.

● Fluency in analytical tools such as Matlab, R, Weka etc.

● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.
Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
5 - 8 yrs
₹12L - ₹30L / yr
Artificial Intelligence (AI)
Computer Vision
Deep Learning
PyTorch
Image Processing
+2 more

Sr AI Scientist, Bengaluru

Job Description

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, 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:

  • 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
  • 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
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Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
3 - 7 yrs
₹7L - ₹20L / yr
Computer Vision
Image Processing
Deep Learning
Algorithms

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:

  • 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
  • Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
  • CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
  • Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
  • End to end deployment of deep learning models.
Read more
Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Viswanath Subramanian
Posted by Viswanath Subramanian
Remote, Chennai, Bengaluru (Bangalore), Mumbai
3 - 7 yrs
₹12L - ₹25L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
R Programming
+5 more

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

 

You will: 

  • Understand business problems and translate business requirements into technical requirements. 
  • Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
  • Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
  • Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
  • Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
  • Lead and mentor data analysts. 

 

We are looking for someone who has: 

 

  • Apart from your love for data and ability to code even while sleeping you would need the following. 
  • Minimum of 02 years of experience in designing and delivery of data science solutions. 
  • You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
  • Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
  • Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
  • Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

  • Regression
  • Classification
  • Predictive Modelling
  • Prescriptive Modelling
  • Python
  • R
  • Descriptive Modelling
  • Time Series
  • Clustering
  •  

What is in it for you: 

 

  • Be a part of building the biggest brand in Data science. 
  • An opportunity to be a part of a young and energetic team with a strong pedigree. 
  • Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

 

Please Note:  

 

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

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Igeeks Technologies
Bengaluru (Bangalore)
0 - 1 yrs
₹1 - ₹3000 / mo
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

The duration of this internship is _1___ month.


Igeeks is India's no.1 internship platform with 10000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is here to help bridge

the 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:

8 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

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