4,985 Deep Learning jobs in India
Deep Learning
Posted today
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Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning Engineer
Posted today
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Job Description
Working experience in performance tuning of end-to-end (E2E) service APIs
Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
Dependency management as well as source code control such as Git
Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
Bachelor's Degree in computer science or related field and 4+ years of industry experience
Proven python skills
Familiarity with security best practices
Familiarity with ML operations services such as SageMaker or other industry standards.
the ability to adapt verbal, written communication to the audience
Strong team player used to work in an agile (scrum) environment with tools like Jira
Solid understanding of best practices such as test-driven development and industry established code quality standards
Experience in Other language expertise like R, C++, Scala is a plus.
Experience with GPU-based training and optimization is considered a plus.
Deep Learning Speacialist
Posted today
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Job Description
Working experience in performance tuning of end-to-end (E2E) service APIs
Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
Dependency management as well as source code control such as Git
Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
Bachelor's Degree in computer science or related field and 4+ years of industry experience
Proven python skills
Familiarity with security best practices
Familiarity with ML operations services such as SageMaker or other industry standards.
the ability to adapt verbal, written communication to the audience
Strong team player used to work in an agile (scrum) environment with tools like Jira
Solid understanding of best practices such as test-driven development and industry established code quality standards
Experience in Other language expertise like R, C++, Scala is a plus.
Experience with GPU-based training and optimization is considered a plus.
Deep Learning Expert
Posted today
Job Viewed
Job Description
Working experience in performance tuning of end-to-end (E2E) service APIs
Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
Dependency management as well as source code control such as Git
Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
Bachelor's Degree in computer science or related field and 4+ years of industry experience
Proven python skills
Familiarity with security best practices
Familiarity with ML operations services such as SageMaker or other industry standards.
the ability to adapt verbal, written communication to the audience
Strong team player used to work in an agile (scrum) environment with tools like Jira
Solid understanding of best practices such as test-driven development and industry established code quality standards
Experience in Other language expertise like R, C++, Scala is a plus.
Experience with GPU-based training and optimization is considered a plus.
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Machine Learning/Deep Learning
Posted today
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Job Description
• Responsibilities Select appropriate datasets and data representation
• methods Data mining using state-of-the-art techniques
• Create and maintain optimal data pipeline architecture Assemble large, complex data sets
• That meet functional / non-functional business requirements
• Design and developing machine learning systems Implement appropriate ML algorithms to create and deploy AI models into production
Senior Deep Learning Engineer
Posted 3 days ago
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Job Description
About Nanonets
Nanonets is redefining how companies automate document-heavy and unstructured data workflows using AI Agents. Our customers include global leaders like Adobe, Schneider Electric, and Boston Scientific. We're backed by marquee investors and are growing fast. We're looking for exceptional engineers to join our mission-driven team.
About the role
The role can be summed up as building and deploying cutting edge generalised deep learning architectures that can solve complex business problems like converting unstructured data into structured format without hand-tuning features/models. You are expected to build state of the art models that are best in the world for solving these problems, continuously experimenting and incorporating new advancements in the field into these architectures.
What we’re looking for
- 5-8 years of experience in Deep Learning.
- Strong foundational knowledge in deep learning concepts and architectures (LLMs and VLMs)
- Demonstrated expertise in at least one specialised area of deep learning (NLP, computer vision, multimodal models, etc.)
- Experience building and deploying production-grade Deep Learning systems at scale,
- Familiarity with various large language models (GPT, LLaMA, Claude, etc.) and their applications
- Strong software engineering practices including version control, CI/CD, and code quality
- Ability to rapidly learn and apply new technologies and approaches.
Interesting Projects Other Senior DL Engineers Have Completed
- Deployed large scale multi-modal architectures that can understand both text and images really well.
- Built an auto-ML platform that can automatically select the best architecture, fine-tuning method based on type and amount of data.
- Best in the world models to process documents like invoices, receipts, passports, driving licenses, etc.
- Hierarchical information extraction from documents. Robust modeling for the tree-like structure of sections inside sections in documents.
- Extracting complex tables — wrapped around tables, multiple fields in a single column, cells spanning multiple columns, tables in warped images, etc.
- Enabling few-shots learning by SOTA finetuning techniques.
Deep Learning (C++) Intern
Posted 3 days ago
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Job Description
Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few.
Role
As a DL Intern at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. You will be a member of our Product Team and solve real-world problems through a process of prototyping, implementation, measurement, and iteration. You will be assisting in researching the latest developments in computer vision/deep-learning/machine learning, and understanding what works best for our users. You will also be assisting in developing models, techniques, and tools and integrating new capabilities into Quidich’s AI platforms.
Responsibilities
- Working with the research team to develop, evaluate, and optimize various state-of-the-art algorithms.
- Helping in developing new frameworks/features, and improving performance and stability for the full product development life cycle.
- Designing, building, and maintaining high-performance, reusable, scalable, and reliable code.
- Carrying out the necessary documentation, reviews, evaluation metrics, bug reports, and quality tests for the product and the developed components/features.
- Demonstrating best presentation skills for showcasing results, team spirit, and effective communication.
- Learning and constantly updating yourself on the emerging trends of technology and applying them in projects for better results.
Qualifications, Skills, and Competencies
- Pursuing a degree in Computer Science or related field.
- Strong understanding of Computer Vision, Deep Learning, and related technologies.
- Knowledge of NN frameworks such as TensorFlow, Keras, Caffe, or Torch.
- Solid grasp in C++, oop concepts, data structures and algorithms.
- Experience with Github, Docker or AWS is a plus.
Location: Mumbai
Reporting To : Product Lead
Joining Date : Immediate
Interested candidates, please send your CV to