1480 Machine Learning Engineers jobs in Bengaluru

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

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.

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.

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.