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50+ Deep Learning Jobs in India

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Mumbai
3 - 9 yrs
₹30L - ₹40L / yr
Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning
Data Science
Computer Vision
+4 more

Responsibilities


  • Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
  • Optimize and debug existing codes to make them scalable and improve performance
  • Design, development, and delivery of tested code and machine learning models into production environments
  • Work effectively in teams, managing and leading teams
  • Provide effective, constructive feedback to the delivery leader
  • Manage client expectations and work with an agile mindset with machine learning and AI technology
  • Design and prototype data-driven solutions

Eligibility


  • Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
  • Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
  • In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
  • Expertise in writing scalable APIs for machine learning models
  • Experience with maintaining code logs, task schedulers, and security
  • Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
  • Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch
Read more
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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Peenak Business solutions
Gaurav Kaushik
Posted by Gaurav Kaushik
Mumbai
3 - 7 yrs
₹10L - ₹15L / yr
Python
Natural Language Processing (NLP)
Deep Learning
TensorFlow
PyTorch

The Role:


As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.


Requirements:


  • Experience with training and fine-tuning machine learning models on large text datasets.
  • Strong computer science fundamentals and at least 3 years of software development experience.
  • Track record of thinking big and finding simple solutions while dealing with ambiguity.
  • Proven experience as a Natural Language Processing Engineer or in similar roles.
  • Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
  • Familiarity with text representation techniques, algorithms, and statistics.
  • Knowledge of programming languages such as R, Python, and Java.
  • Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
  • Ability to design software architectures and solve complex problems.
  • Strong analytical and problem-solving skills.
  • Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
  • Publications, patents, or conference talks in relevant fields are a bonus.



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Inferigence Quotient

at Inferigence Quotient

1 recruiter
Neeta Trivedi
Posted by Neeta Trivedi
Bengaluru (Bangalore)
0.5 - 2 yrs
₹4L - ₹15L / yr
Deep Learning
Speech recognition
Artificial Intelligence (AI)

This job is for Generative AI in visual modality. Candidates with relevant experience only must apply.

The selected candidate is required to perform all the necessary tasks related to data engineering, models selection, use relevant selected libraries/ APIs/ SDKs and creat an Avatar that is visually realistic, with realistic expressions, correct lip synching, and is computationally optimal to run in real time.

The candidate is required to do the necessary designer's tests and documentation as well.

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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
Read more
master works
Spandana Bomma
Posted by Spandana Bomma
Hyderabad
3 - 7 yrs
₹6L - ₹15L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+8 more

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

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cambodia
2 - 5 yrs
₹3L - ₹6L / yr
Search Engine Optimization (SEO)
MS-Outlook
Copy Writing
Content Writing
Artificial Intelligence (AI)
+6 more

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.

● Content Production: Creating content to support demand generation initiatives, and grow brand awareness in a competitive category of an online casino company.

● Writing content for different marketing channels (such as website, blogs, thought leadership pieces, social media, podcasts, webinar, etc.) as assigned to effectively reach the desired target players and marketing goals.

● Data Analysis: Analyze player data to identify trends, improve the player experience, and make data-driven decisions for the casino's operations.

● Research and use AI-based tools to improve and speed up content creation processes.

● Researching content and consumer trends to ensure that content is relevant and appealing.

● Help develop and participate in market research for the purposes of thought leadership content production and opportunities, and competitive intelligence for content marketing.

● Security: Maintain a secure online environment, including protecting player data and preventing cyberattacks.

● Managing content calendars (and supporting calendar management) and ensuring the content you write is consistent with brand standards and meets the brief as-assigned.

● Coordinating with project manager / content manager to ensure the timely delivery of assignments.

● Keeping up to date with content trends, consumer preferences, and advancements in technology.

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.


The specific responsibilities and requirements for a Marketing Content Supervisor/Manager in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards. 


Salary

Php80, 000 - Php100, 000


INR 117,587.- 146,960


Work Experience Requirements


Essential Qualifications


● Excellent research, writing, editing, proofreading, content creation and communication skills.

● Proficiency/experience in formulating corporate/brand/product messaging.

● Strong understanding of SEO and content practices.

● Proficiency in MS Office, Zoom, Slack, marketing platforms related to creative content creation/ project management/ workflow.

● Content writing / copywriting portfolio demonstrating scope of content/copy writing capabilities and application of writing and SEO best practices.

● Highly motivated, self-starter, able to prioritize projects, accept responsibility and follow through without close supervision on every step.

● Demonstrated strong analytical skills with an action-oriented mindset focused on data-driven results.

● Experience in AI-based content creation tools is a plus. Openness to research and use AI tools required.

● Passion for learning and self-improvement.

● Detail-oriented team player with a positive attitude.

● Ability to embrace change and love working in dynamic, growing environments.

● Experience with research, content production, writing on-brand and turning thought pieces into multiple content assets by simplifying complex concepts preferred.

● Ability to keep abreast of content trends and advancements in content strategies and technologies.

● On-camera or on-mic experience or desire to speak and present preferred.

● Must be willing to report onsite in Cambodia

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Matellio India Private Limited
Harpreet Kaur
Posted by Harpreet Kaur
Remote only
6 - 12 yrs
₹10L - ₹15L / yr
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Machine Learning (ML)
Generative AI
Deep Learning
+1 more

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

 

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

 

Skills:

  • 6+ years of experience in AI/ML engineering.
  • Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
  • Experience in Natural Language Processing (NLP) and Computer Vision.
  • Expertise in Generative AI techniques.
  • Familiarity with cloud platforms such as Azure and AWS.
  • Strong background in statistical modelling and content customization.
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication and collaboration skills


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Gyrus AI Private Limited
Nagaraj Krishnamurthy
Posted by Nagaraj Krishnamurthy
Bengaluru (Bangalore)
1 - 4 yrs
₹8L - ₹20L / yr
Python
OpenCV
PyTorch
Deep Learning
Image Processing
+1 more

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 


Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

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App Innovation Technologies
AIT Careers
Posted by AIT Careers
Coimbatore, Trichy
0 - 2 yrs
₹1L - ₹3L / yr
Artificial Intelligence (AI)
Deep Learning
PowerBI

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.


To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.


Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

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Lifespark Technologies

at Lifespark Technologies

6 candid answers
1 video
Amey Desai
Posted by Amey Desai
Mumbai
1 - 3 yrs
₹4L - ₹9L / yr
TensorFlow
Machine Learning (ML)
Computer Vision
Deep Learning
Time series
+4 more

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

 

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

 

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

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Monarch Tractors India
Hyderabad
2 - 8 yrs
Best in industry
Machine Learning (ML)
Data Science
Algorithms
Python
C++
+10 more

Designation: Perception Engineer (3D) 

Experience: 0 years to 8 years 

Position Type: Full Time 

Position Location: Hyderabad 

Compensation: As Per Industry standards 

 

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

 

Description: 

We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware. 

 

Technical Skills: 

  • Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary. 
  • Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional. 
  • Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP. 
  • Experience in two view and multi-view geometry. 
  • Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV. 
  • Academic experience for freshers in Vision for Robotics is preferred.  
  • Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply. 
  • Software development experience on low-power embedded platforms is a plus. 

 

Responsibilities: 

  • Understanding engineering principles and a clear understanding of data structures and algorithms. 
  • Ability to understand, optimize and debug imaging algorithms. 
  • Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform. 
  • Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents. 
  • Optimize runtime performance of designed models. 
  • Deploy models to production and monitor performance and debug inaccuracies and exceptions. 
  • Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives. 
  • Thrive in a fast-paced environment and can own the project end to end with minimum hand holding. 
  • Learn & adapt to new technologies & skillsets. 
  • Work on projects independently with timely delivery & defect free approach. 
  • Thesis focusing on the above skill set may be given more preference. 

 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.  

 

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Jio Platforms Limited

at Jio Platforms Limited

3 recruiters
Dixit Nahar
Posted by Dixit Nahar
Navi Mumbai, Mumbai
3 - 5 yrs
₹9L - ₹15L / yr
Python
TensorFlow
Keras
Apache Kafka
Spark
+7 more
Role - Data Scientist / Machine Learning Scientist / Deep Learning Engineer -: 3 - 5 yrs experienced Programming Must Know:- Python, Tensorflow, Keras, Kafka, Spark Must have worked in Video Analytics with at least 2 Deep Learning Models like R-CNN, LSTM, Object Detection Models like YOLO, Object tracking Models like Deep SORT Must have good model training and testing experience with Structured(statistical machine learning) and Unstructured Data Must be good with Statistics. Good to have Data visualization experience in Python or any data visualization tool. Good to have Kubernetes, Multiprocessing experience, MLops like docker, hydra etc

Team:- We are a team of 9 data scientists working on Video Analytics Projects, Data Analytics projects for internal AI requirements of Reliance Industries as well for the external business. At a time, we make progress on multiple projects(atleast 4) in Video Analytics or Data Analytics.
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Flaxen Infosoft

at Flaxen Infosoft

1 recruiter
Deepa Sisodiya
Posted by Deepa Sisodiya
Indore
1 - 2 yrs
₹1L - ₹2L / yr
Self motivated
Interpersonal Skills
Problem solving
Deep Learning
Lead management

Job description:

•Candidate should have basic communication and good convincing power.

•Candidate should be comfortable with calling.

•Lead generation, Ability to work in a team or individually as and when required.

•Outstanding problem solving skills.

•Have great interpersonal skills.

•Candidate should have strong organizational skills.

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Thena
Ankit Saxena
Posted by Ankit Saxena
Bengaluru (Bangalore)
2 - 4 yrs
₹15L - ₹24L / yr
Data Science
Machine Learning (ML)
Deep Learning
ML Ops
Natural Language Processing (NLP)
+2 more

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.


Responsibilities:


  • Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
  • Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
  • Optimize model performance and accuracy through experimentation, iteration, and testing.
  • Build and maintain ML infrastructure and tools to support model development and deployment.
  • Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

  • 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
  • Experience with ML Ops, including deploying and managing ML models in production environments.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with Embeddings and building on top of LLMs.
  • Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
  • Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.


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Phenom People

at Phenom People

5 recruiters
Srivatsav Chilukoori
Posted by Srivatsav Chilukoori
Hyderabad
3 - 6 yrs
₹10L - ₹18L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python
Deep Learning
+4 more

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

  • Design and implement machine learning, information extraction, probabilistic matching algorithms and models
  • Research and develop innovative, scalable and dynamic solutions to hard problems
  • Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
  • Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
  • Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
  • Be a valued contributor in shaping the future of our products and services
  • You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
  • Be part of a fast pace, fun-focused, agile team

Job Requirement:

  • 4+ years of industry experience
  • Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
  • Strong mathematics, statistics, and data analytics
  • Solid coding and engineering skills preferably in Machine Learning (not mandatory)
  • Proficient in Java, Python, and Scala
  • Industry experience building and productionizing end-to-end systems
  • Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
  • Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.


Position Summary

We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

  • Capable of building accurate machine learning models is the main goal of a machine learning engineer
  • Linear Algebra, Applied Statistics and Probability
  • Building Data Models
  • Strong knowledge of NLP
  • Good understanding of multithreaded and object-oriented software development
  • Mathematics, Mathematics and Mathematics
  • Collaborate with Data Engineers to prepare data models required for machine learning models
  • Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
  • Build large-scale software systems and numerical computation topics
  • Use predictive analytics and data mining to solve complex problems and drive business decisions
  • Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
  • Tackle situations where problem is unknown and the Solution is unknown
  • Solve analytical problems, and effectively communicate methodologies and results to the customers
  • Adept at translating business needs into technical requirements and translating data into actionable insights
  • Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

  • Competitive salary for a startup
  • Gain experience rapidly
  • Work directly with the executive team
  • Fast-paced work environment

 

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

 

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

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IT Product based Org.
Agency job
via OfficeDay Innovation by OFFICEDAY INNOVATION
Ahmedabad
3 - 5 yrs
₹10L - ₹12L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
+7 more
  • 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
  • Programming skills in Python, knowledge in Statistics.
  • Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
  • Experience in the financial domain and familiarity with financial models are highly desirable.
  • Experience in image processing and computer vision.
  • Experience working with building data pipelines.
  • Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
  • Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
  • Should have experience in using larger data sets using Postgres Database. 

 

Read more
Chennai
3 - 8 yrs
₹3L - ₹17L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
+7 more

Job Description – Data Science  

 

Basic Qualification:

  • ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
  • Strong Analytical skills and application of Statistical techniques to problem solving
  • Expertise in algorithms, data structures and performance optimization techniques
  • Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
  •   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  • Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  • Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  • Mentor team members towards developing quick solutions for business impact.
  • Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.

 

Preferred Qualifications
  • 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  • Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  • Knowledge on Microsoft Azure will be desired.
  • Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  • Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  • Experience in infra development / building platforms is highly desired.
  • A drive to learn and master new technologies and techniques.
Read more
KARZA
Agency job
via Seven N Half by Viral Jain
Remote only
2 - 5 yrs
₹6L - ₹19L / yr
RNN
Deep Learning
Machine Learning (ML)
Sentiment Analysis
LSTM
+2 more
Identify and integrate new datasets that can be leveraged through our product capabilities and work closely
with the engineering team to strategize and execute the development of data products
● Execute analytical experiments methodically to help solve various problems and make a true impact across
various domains and industries
NLP ENGINEER at KARZA TECHNOLOGIES
● Identify relevant data sources and sets to mine for client business needs, and collect large structured and
unstructured datasets and variables
● Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve
models, and clean and validate data for uniformity and accuracy
● Analyze data for trends and patterns, and Interpret data with a clear objective in mind
● Implement analytical models into production by collaborating with software developers and machine
learning engineers
● Communicate analytic solutions to stakeholders and implement improvements as needed to operational
systems
What you need to work with us:
● Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
● Should be curious or thoughtful enough to answer the “WHYs” pertaining to the most cherished
observations, thumb rules, and ideas across the data science community.
Qualification and Experience Required:
● 1 - 4 years of relevant experience
● Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology
Read more
Perfios
Agency job
via Seven N Half by Susmitha Goddindla
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹15L / yr
SQL
ETL tool
python developer
MongoDB
Data Science
+15 more
Job Description
1. ROLE AND RESPONSIBILITIES
1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
2.2. Experience of working with data-intensive projects, with a variety of technology stacks including different programming languages (Java,
Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
Read more
Outplay
Oiendrila Lodh
Posted by Oiendrila Lodh
Remote only
4 - 7 yrs
₹20L - ₹40L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Speech recognition
+3 more
Who we are?
Outplay is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Outplay is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Outplay early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.

Perks of being an Outplayer :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Outplay is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan. 
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security

About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Outplay and push the threshold of conversational intelligence.

Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals

Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment
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Archcorp Architectural Engineering
Remote, Dubai
0 - 4 yrs
₹5L - ₹15L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Neural networks
+4 more
Main Responsibilities:

  • Work closely with your business to identify issues and use data to propose solutions for effective decision making
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
  • Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
  • Querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
  • Test data mining models to select the most appropriate ones for use on a project
  • Work in a POSIX/UNIX environment to run/deploy applications
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
  • Horizon scan to stay up to date with the latest technology, techniques and methods
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

General Expectations:

  • Able to create algorithms to extract information from large data sets
  • Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
  • Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
  • Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
  • Knowledge of Machine Learning techniques and their respective pros and cons
  • Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
  • Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
  • Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
  • Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
  • Hands-on experience on C#, Javascript, .Net
  • Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
  • Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
  • Strong knowledge of computer science, algorithms, and design patterns
  • Strong oral and written communication, and other soft skills critical to collaborating and engage with teams
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

 

 

 

 

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GeniaTEQ

at GeniaTEQ

1 recruiter
Prerana Shirsat
Posted by Prerana Shirsat
Pune
4 - 15 yrs
₹1L - ₹14L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
BERT
Deep Learning
+1 more
Skills/Job Description:

Location: Pune

Experience: 3+ Years

Experience applying statistical methods (distribution analysis, classification, clustering, etc.).

The individual requires excellent analytical skills required to mine data, develop algorithms and then analyze results to determine decisions or actions

At least good experience in using data science with a focus on deep neural nets, statistics, empirical data analysis, machine learning and Natural Language Processing
Solid knowledge of various statistical techniques and experience using machine learning algorithms

Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets

Excellent relationship management skills with senior stakeholders is paramount
Experience in practical data processing, data mining, text mining and information retrieval tasks
Read more
Hyderabad
4 - 9 yrs
₹17L - ₹35L / yr
Data Science
Natural Language Processing (NLP)
Machine Learning (ML)
Deep Learning
Requirements: Skills
 A Bachelor’s degree in data science, statistics, computer science, or a similar field
 2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
 Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
 Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
 Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
 Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
 Experience with storage frameworks like Hadoop, Spark, Kafka etc
 Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
 Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
 Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
Read more
RandomTrees

at RandomTrees

1 recruiter
HariPrasad Jonnalagadda
Posted by HariPrasad Jonnalagadda
Remote only
5 - 10 yrs
₹15L - ₹30L / yr
Data Science
Machine Learning (ML)
Linear regression
Natural Language Processing (NLP)
Deep Learning
+5 more

Work Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
Read more
Uber9 Business Process Services Pvt Ltd
Lakshmi J
Posted by Lakshmi J
Chennai
1 - 4 yrs
₹1L - ₹4L / yr
MongoDB
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
Amazon Web Services (AWS)

Working along with the highly  motivated advanced Machine Learning team, with  key responsibilities are to research, design, develop, and implement applications that will be integrated into our workflows.

Responsibilities and Accountabilities:

 

  • Provide ML  & Deep Learning solutions and build models for day to day Needs.
  • Working on end-to-end automation with regard to complex workflows.
  • Should have the ability to read and understand the necessary  Deep Learning research papers and draw solution out of it
  • Information extraction from various kinds of documents submitted by our customers. These documents will be images (different formats and resolutions), and PDF (text and scanned images).
  • Advanced Natural Language processing algorithms to extract metadata and drive research based  workflows.
  • Work collaboratively with the Engineering and Product team to design and implement the company’s technical vision.

I Experience:


  • Nature of Experience: Practical experience applying machine learning to computer vision tasks or in NLP
Length of Experience: 1-2 years (Freshers with extraordinary projects)


III Skill Set & Personality Traits required:

  • Have a proven understanding of computer vision and machine learning theory.
  • Candidates should be able to analyze and synthesize data both syntactically and semantically using NLP techniques through Neural Networks (Transformers-BERT and its Variants,RNN, LSTM, Bi-LSTM,).
  • Reasoning on Knowledge Graphs
  • Applied Linguists and Computational linguistics
  • Should have in-depth knowledge of Computer Vision (Image classification (CNNs) & Processing) and Natural Language Processing(Syntactic and Semantic regime) 
  • Must have the following Machine Learning skills: Probabilistic Learning (Naive Bayes), Neural Networks (CNN, RNN, LSTM, Bi-LSTM, GCNN, Object detection Neural Networks-Yolo).
  • Proficiency in Python(mandatory) and Scala will be add on
  • Must have work knowledge in FrameWorks: TensorFlow/Pytorch/Keras, Spark, Sci-kit learn, Flask, Fast API
  • Must have work knowledge in Database: MongoDB
  • Must have working knowledge in Cloud: AWS (S3and Lambda)
  • Have vision and experience to make end-to-end Machine Learning Platform solutions.
  • Proven experience working in product driven environment building and shipping early-stage technologies.
  • Strong professionally – credible with integrity.
  • Good communication skills.
  • Strong interpersonal skills.
  • Organizational skills and ability to manage deadlines.
Read more
Gurugram
5 - 10 yrs
₹25L - ₹40L / yr
Machine Learning (ML)
Data Science
Computer Vision
Machine vision
Artificial Intelligence (AI)
+2 more
About the company

 Changing the way cataloging is done across the Globe. Our vision is to empower the smallest of
sellers, situated in the farthest of corners, to create superior product images and videos, without the need
for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using
their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly
compose High-Quality "tuned-in" product visuals, instantly.  
editing AI software, to capture and process beautiful product images for online selling. We are also
fortunate and proud to be backed by the biggest names in the investment community including the likes of
Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that
there is an intelligent and efficient way of doing Digital Production than how the world operates currently.

Job Description :

- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of ecommerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.

Job Requirements:

- 4-5 years of experience overall.
- Looking for strong Computer Vision experience and knowledge.
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
Read more
Orboai

at Orboai

4 recruiters
Neha T
Posted by Neha T
Mumbai, Delhi
4 - 7 yrs
₹8L - ₹22L / yr
OpenCV
Image Processing
Image segmentation
Deep Learning
Python
+7 more

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

  • Join top AI company
  • Grow with your best companions
  • Continuous pursuit of excellence, equality, respect
  • Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

  • Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
  • Lead a team of ML engineers in developing an industrial AI product from scratch
  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
  • Tune the models to achieve high accuracy rates and minimum latency
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

  • Bachelor’s degree
  • Understanding about depth and breadth of computer vision and deep learning algorithms.
  • 4+ years of industrial experience in computer vision and/or deep learning
  • Experience in taking an AI product from scratch to commercial deployment.
  • Experience in Image enhancement, object detection, image segmentation, image classification algorithms
  • Experience in deployment with OpenVINO, ONNXruntime and TensorRT
  • Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
  • Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
  • Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

  • is proactive and an independent problem solver
  • is a constant learner. We are a fast growing start-up. We want you to grow with us!
  • is a team player and good communicator

 

What We Offer:

  • You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
  • You will be in charge of what you build and be an integral part of the product development process
  • Technical and financial growth!
Read more
Orboai

at Orboai

4 recruiters
Hardika Bhansali
Posted by Hardika Bhansali
Mumbai, Noida
2 - 5 yrs
₹6L - ₹20L / yr
Machine Learning (ML)
Data Science
Computer Vision
Deep Learning
OpenCV
+6 more

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

  • Join top AI company
  • Grow with your best companions
  • Continuous pursuit of excellence, equality, respect
  • Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

  • Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
  • Lead a team of ML engineers in developing an industrial AI product from scratch
  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
  • Tune the models to achieve high accuracy rates and minimum latency
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

  • Bachelor’s degree
  • Understanding about depth and breadth of computer vision and deep learning algorithms.
  • 4+ years of industrial experience in computer vision and/or deep learning
  • Experience in taking an AI product from scratch to commercial deployment.
  • Experience in Image enhancement, object detection, image segmentation, image classification algorithms
  • Experience in deployment with OpenVINO, ONNXruntime and TensorRT
  • Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
  • Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
  • Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

  • is proactive and an independent problem solver
  • is a constant learner. We are a fast growing start-up. We want you to grow with us!
  • is a team player and good communicator

 

What We Offer:

  • You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
  • You will be in charge of what you build and be an integral part of the product development process
  • Technical and financial growth!
Read more
Remote only
3 - 6 yrs
₹12L - ₹23L / yr
Deep Learning
Computer Vision
PyTorch
TensorFlow
Python
+7 more
This person MUST have:
- B.E Computer Science or equivalent.
- In-depth knowledge of machine learning algorithms and their applications including
practical experience with and theoretical understanding of algorithms for classification,
regression and clustering.
- Hands-on experience in computer vision and deep learning projects to solve real world
problems involving vision tasks such as object detection, Object tracking, instance
segmentation, activity detection, depth estimation, optical flow, multi-view geometry,
domain adaptation etc.
- Strong understanding of modern and traditional Computer Vision Algorithms.
- Experience in one of the Deep Learning Frameworks / Networks: PyTorch, TensorFlow,
Darknet (YOLO v4 v5), U-Net, Mask R-CNN, EfficientDet, BERT etc.
- Proficiency with CNN architectures such as ResNet, VGG, UNet, MobileNet, pix2pix,
and Cycle GAN.
- Experienced user of libraries such as OpenCV, scikit-learn, matplotlib and pandas.
- Ability to transform research articles into working solutions to solve real-world problems.
- High proficiency in Python programming knowledge.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker
containers, CI/CD tools).
- Strong communication 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)
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
Quidich

at Quidich

2 recruiters
Parag Sule
Posted by Parag Sule
Mumbai
0 - 9 yrs
₹2L - ₹14L / yr
Computer Vision
TensorFlow
C++
slam
EKF
+6 more

About Quidich


http://www.quidich.com">Quidich Innovation Labs pioneers products and customized technology solutions for the Sports Broadcast & Film industry. With a mission to bring machines and machine learning to sports, we use camera technology to develop services using remote controlled systems like drones and buggies that add value to any broadcast or production. Quidich provides services to some of the biggest sports & broadcast clients in India and across the globe. A few recent projects include Indian Premier League, ICC World Cup for Men and Women, Kaun Banega Crorepati, Bigg Boss, Gully Boy & Sanju.

What’s Unique About Quidich?

  • Your work will be consumed by millions of people within months of your joining and will impact consumption patterns of how live sport is viewed across the globe.
  • You work with passionate, talented, and diverse people who inspire and support you to achieve your goals.
  • You work in a culture of trust, care, and compassion.
  • You have the autonomy to shape your role, and drive your own learning and growth. 

Opportunity

  • You will be a part of world class sporting events
  • Your contribution to the software will help shape the final output seen on television
  • You will have an opportunity to work in live broadcast scenarios
  • You will work in a close knit team that is driven by innovation

Role

We are looking for a tech enthusiast who can work with us to help further the development of our Augmented Reality product, https://www.quidich.com/services/spatio">Spatio, to keep us ahead of the technology curve. We are one of the few companies in the world currently offering this product for live broadcast. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of software development and computer vision systems. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for candidates that are passionate about the product and embody our values.




Responsibilities

  • Working with the research team to develop, evaluate and optimize various state of the art algorithms.
  • Deploying high performance, readable, and reliable code on edge devices or any other target environments.
  • Continuously exploring new frameworks and identifying ways to incorporate those in the product.
  • Collaborating with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning etc.

Minimum Qualifications, Skills and Competencies

  • B.E/B.Tech or Masters in Computer Science, Mathematics or relevant experience
  • 3+ years of experience in computer vision algorithms like - sfm/SLAM, optical flow, visual-inertial odometry
  • Experience in sensor fusion (camera, imu, lidars) and in probabilistic filters - EKF, UKF
  • Proficiency in programming - C++ and algorithms
  • Strong mathematical understanding - linear algebra, 3d-geometry, probability.

Preferred Qualifications, Skills and Competencies

  • Proven experience in optical flow, multi-camera geometry, 3D reconstruction
  • Strong background in Machine Learning and Deep Learning frameworks.

Reporting To: Product Lead 

Joining Date: Immediate (Mumbai)

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Top startup of India -  News App
Noida
6 - 10 yrs
₹35L - ₹65L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+6 more
This will be an individual contributor role and people from Tier 1/2 and Product based company can only apply.

Requirements-

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark etc.
● Experience with databases: MongoDB
Read more
Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

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

Introduction

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

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

 

Your Roles and Responsibilities

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

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

 

 

Primary Responsibilities

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

 

Requirements

  • 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
  • Prior experience in leading and managing a team.
  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Background in publishing research papers and/or patents 
  • Computer Vision and AI Research background in medical domain will be a plus
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet the deadline
Read more
Remote, Chennai
3 - 6 yrs
Best in industry
Machine Learning (ML)
Data Science
Deep Learning
Artificial Intelligence (AI)
Python
+1 more

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge:
Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

 
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Passion Gaming

at Passion Gaming

2 recruiters
Trivikram Pathak
Posted by Trivikram Pathak
Panchkula
1 - 4 yrs
₹6.5L - ₹9.5L / yr
Data Science
Data Analytics
Python
SQL
NOSQL Databases
+5 more

We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.

Experience Required

  • Medium to Expert level proficiency in either R or Python.
  • Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
  • Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
  • Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
  • Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
  • Medium-to-Proficient in creating beautiful Tableau dashboards.
  • Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
  • Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
  • Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.

Good to Have

  • Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
  • Experience of working in the Gaming domain
  • Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
  • Experience in building and maintaining Data Warehouses in AWS would be a big plus!

Benefits

  • PF and gratuity
  • Working 5 days a week
  • Paid leaves (CL, SL, EL, ML) and holidays
  • Parties, festivals, birthday celebrations, etc
  • Equability: absence of favouritism in hiring & promotion
Read more
Matellio India Private Limited
Harshit Sharma
Posted by Harshit Sharma
Remote only
8 - 15 yrs
₹10L - ₹27L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Deep Learning
+7 more

Responsibilities include: 

  • Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
  • Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
  • Build data ingestion and data transformation infrastructure
  • Automate infrastructure that the data science team uses
  • Perform statistical analysis and tune the results so that the organization can make better-informed decisions
  • Set up and manage AI development and product infrastructure
  • Be a good team player, as coordinating with others is a must
Read more
Matellio India Private Limited
Harshit Sharma
Posted by Harshit Sharma
Remote only
3 - 6 yrs
₹3L - ₹15L / yr
Python
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
+2 more
This role is primarily responsible for building AIML models and cognitive applications

Principal Accountabilities :

1. Good in communication and converting business requirements to functional requirements

2. Develop data-driven insights and machine learning models to identify and extract facts from sales, supply chain and operational data

3. Sound Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting Trees, Time Series Forecasting, etc.

5. Experience in SOTA Deep Learning techniques to solve NLP problems.

6. End-to-end data collection, model development and testing, and integration into production environments.

7. Build and prototype analysis pipelines iteratively to provide insights at scale.

8. Experience in querying different data sources

9. Partner with developers and business teams for the business-oriented decisions

10. Looking for someone who dares to move on even when the path is not clear and be creative to overcome challenges in the data.
Read more
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.

Read more
MulticoreWare
Chennai
3 - 6 yrs
₹7L - ₹12L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
C
+6 more

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)


We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.


About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.


Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit


Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields


Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals

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Bytelearn

at Bytelearn

3 recruiters
Prachi Rathi
Posted by Prachi Rathi
Remote only
0 - 1 yrs
₹4L - ₹4.8L / yr
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Algorithms
Data Structures
Machine Learning (ML)
+2 more
1. Develop novel computer vision/NLP algorithms
2. Build large datasets that will be used to train the models
3. Empirically evaluate related research works
4. Train and evaluate deep learning architectures on multiple large scale datasets
5. Collaborate with the rest of the research team to produce high-quality research
Read more
Gurugram
4 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
+4 more

About the Company:

This opportunity is for an AI Drone Technology startup funded by the Indian Army. It is working to develop cutting-edge products to help the Indian Army gain an edge in New Age Enemy Warfare.

They are working on using drones to neutralize terrorists hidden in deep forests. Get a chance to contribute to secure our borders against the enemy.

Responsibilities:

  • 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 such as Tensorflow, Pytorch
  • Experience visualizing data to stakeholders
  • Ability to analyze and debug complex algorithms
  • Highly skilled in Python scripting language
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills

 

Educational Qualification:

MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.

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Bengaluru (Bangalore), Hyderabad
6 - 15 yrs
₹40L - ₹70L / yr
Deep Learning
Machine Learning (ML)
Compiler
LLVM
MLIR
+1 more

Job Title: Chief Engineer: Deep Learning Compiler Expert

 

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

 

Necessary Skills / Attributes:

  • 6 to 15 years of experience in the field of compiler design and graph mapping.
  • 2+ years hands-on experience with MLIR and/or LLVM.
  • Experience with multiple toolchains, compilers, and Instruction Set Architectures.
  • Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
  • Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
  • Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
  • Familiarity with parallelization techniques for ML acceleration.
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
  • Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
  • Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
  • Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
  • Experience with Hardware and Software Co-design.

 

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

 

Work Profile:

  • Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
  • Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
  • Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
  • Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
  • Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
  • Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
  • Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
  • Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
  • Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
  • Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
  • Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

 

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

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Srijan Technologies

at Srijan Technologies

6 recruiters
Adyasha Satpathy
Posted by Adyasha Satpathy
Remote only
3 - 8 yrs
₹10L - ₹25L / yr
Data Science
Machine Learning (ML)
R Programming
Python
Deep Learning
+1 more

Job Responsibilities:-

  • Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
  • Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
  • Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
  • Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
  • Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
  • Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
  • Experience working with big data systems and big data concepts.
  • Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
  • Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
  • Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

  • Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
  • Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
  • Strong understanding of text pre-processing and normalization techniques, such as tokenization,
  • POS tagging and parsing and how they work at a low level.
  • Excellent problem solving skills.
  • Strong verbal and written communication skills
  • Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
  • Practical experience in using NLP related techniques and algorithms
  • Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

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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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Remote, all over india
2 - 6 yrs
₹6L - ₹20L / yr
Machine Learning (ML)
Deep Learning
Artificial Intelligence (AI)
Hi ,

We have an Excellent job Opportunity for  "Applied Machine Learning Engineer" with one of thr Product based organization for Remote Working Mode or for Mumbai Location.

Job Responsibilities:

  • Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
  • Understanding the business objectives & defining the right target metrics to track performance & progress.
  • Defining & building datasets with the appropriate representation techniques for learning.
  • Training & tuning models. Running evaluation & test experiments on the models.
  • Build ML pipelines end to end. (Everything MLOps.)
  • Building pipelines for the various stages.
  • Deploying models.
  • Troubleshooting issues with models in production.
  • Reporting results of model performance in production.
  • Retraining, performance logging & maintenance.
  • Help the business with insights for better decision-making. You will build many predictive models for internal business operations
    you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

  • 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
  • Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
  • Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
  • Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
  • Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
  • Experience with ML infrastructure & shipping models.
  • Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
  • Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

 

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

 

Regards

Ashwini

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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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Banyan Data Services

at Banyan Data Services

1 recruiter
Sathish Kumar
Posted by Sathish Kumar
Bengaluru (Bangalore)
3 - 15 yrs
₹6L - ₹20L / yr
Data Science
Data Scientist
MongoDB
Java
Big Data
+14 more

Senior Big Data Engineer 

Note:   Notice Period : 45 days 

Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA. 

 

We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure. 

 

It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges. 

 

 

Key Qualifications

 

·   5+ years of experience working with Java and Spring technologies

· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations

· Knowledge of microservices architecture is plus 

· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra

· Experience with Kafka or any streaming tools

· Knowledge of Scala would be preferable

· Experience with agile application development 

· Exposure of any Cloud Technologies including containers and Kubernetes 

· Demonstrated experience of performing DevOps for platforms 

· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity

· Exposure to Graph databases

· Passion for learning new technologies and the ability to do so quickly 

· A Bachelor's degree in a computer-related field or equivalent professional experience is required

 

Key Responsibilities

 

· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture

· Design and develop the big data-focused micro-Services

· Involve in big data infrastructure, distributed systems, data modeling, and query processing

· Build software with cutting-edge technologies on cloud

· Willing to learn new technologies and research-orientated projects 

· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed 

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