2312 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.

Company Description

Ignitarium is a Silicon and Embedded System design house dedicated to providing innovative and optimal solutions to assist customers in product development. The company is built around a core team of technologists with over 150 years of collective industry experience in areas such as system architecture, logic design and verification, signal processing, FPGA design, and embedded system design. Ignitarium prides itself on its expertise and the relevant solutions it offers to its clients.

Role Description

This is a full-time, on-site role for a Deep Learning Engineer located in Bengaluru. The Deep Learning Engineer will be responsible for designing, developing, and implementing deep learning models and algorithms. Day-to-day tasks include data preprocessing, model training, evaluation, and optimization. The role also involves collaborating with cross-functional teams to integrate deep learning solutions into various systems and applications, as well as staying updated with the latest developments in the field of deep learning and artificial intelligence.

Please find the JD / required skill sets as below:

• Strong understanding of fundamentals of AI/ML (DL) and Image Processing
• Strong fundamentals in Data structures and Algorithms
• Experience in relevant libraries such as OpenCV, Numpy, PIL libraries
• Experience in developing 
  Deep
   
  Learning
   models to solve computer vision problems for resource constrained devices
• Experiences in any one of the 
  Deep
   
  Learning
   frameworks – Pytorch, Tensorflow
• Experience with ADAS domain a plus.
• Awareness of Camera models and birds eye view projection would be great.

Posha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use AI and Computer Vision to consistently and reliably cook the best food for our users

See it in action:

Posha is a fast-growing Series-A funded startup backed by Tier-1 VCs including Accel Partners, Waterbridge Ventures, amongst others.

What can I expect from this role?

We're looking for a driven and curious
Deep Learning Engineer
to join our ML team. This is a core ML role with a strong emphasis on Deep Learning — you'll work on building real-world systems involving computer vision, recommendation models, and, optionally, large language models (LLMs).

You don't need to come in knowing everything — but you
must
have a strong grasp of deep learning fundamentals and a portfolio that demonstrates you've built or trained real models. If you're excited to get your hands dirty with real data, ambiguous edge cases (because there will be a ton of them), and rapid iteration cycles, this is the right place for you.

What will my work responsibilities look like if I join Posha?

• Solve real-world perception problems using deep learning (e.g., regression, segmentation, classification, object detection)
• Train, evaluate, and productionise models that run across a wide variety of conditions and edge cases on edge devices.
• Contribute to entirely new ML features — from idea to dataset collection to building prototype to production.
• Iterate rapidly on datasets and models based on feedback from deployed systems
• If you're familiar with LLMs, you'll also have opportunities to work on fine-tuning LLMs on our use-cases, and retrieval-augmented generation (RAG) for chat-bots.

What makes you a match for us?

• Graduates from IITs/ NITs/IISC with 1-3 years of industry experience
• Solid in math and ML fundamentals — not just using pre-trained models or scikit-learn.
• Comfortable in an ambiguous, fast-paced, high-ownership startup setup
• Always curious, always building, and not afraid to experiment
• Strong fundamentals in Deep Learning
  — CNNs, RNNs, transformers, optimisation, generalisation, etc.
• Experience working with
  PyTorch
  to train and debug deep models.
• Comfortable with Python and ecosystem tools (NumPy, pandas, Scikit-Learn, OpenCV)
• Good grasp of training pipelines, evaluation metrics, and systematic experimentation
• Eagerness to pick up new domains (CV, NLP, speech) as needed

Bonus (Nice to Have)

• Experience working with
  LLMs.
• Hands-on with fine-tuning LLMs, or multi-modal models
• Experience dealing with real-world, noisy, or edge-case-heavy data
• Familiarity with tools like HuggingFace, Weights & Biases, AWS, MLFlow.

Why Join Us

• You'll own
  end-to-end ML problems
  — not just work on a small piece of the pipeline
• You'll deploy models on
  real robotic systems
  running in
  actual homes
• Fast iterations, real feedback loops.
• You'll grow super fast — both in depth and breadth — in a tightly-knit ML team
• It's a startup — so if you're excited by
  speed, ownership, and real impact
  , you'll fit right in

Working at Posha

• What users have to say about our Product
• Twitter love from users
• How does Posha cook
• Our Website
• Watch Our Journey

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.

At Streamingo.ai, we are building the future of video intelligence. Our flagship platform, FizzStream, analyzes over a billion seconds of video to power real-world applications in market research, retail analytics, and sports analytics. We've achieved an industry-leading 90-92% accuracy in human activity analysis, and we’re just getting started. We are a team of passionate innovators who believe in bridging cutting-edge research with production-grade solutions to create tangible impact.

The Mission:

We are seeking a hands-on Senior Deep Learning Engineer to pioneer the next generation of our core Video AI capabilities. This isn't just a research role; it’s an opportunity to own the full lifecycle of new features, from concept to deployment, and directly influence a product that is already a leader in its field.

What You'll Own:

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g., Video Language Models, multi-camera tracking) into robust, scalable, and deployed features for our core platform.
• Model Innovation and Optimization : Design, build, and meticulously optimize Deep Learning models for sophisticated human activity analysis. You'll work with the entire lifecycle, ensuring performance and efficiency.
• End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
• Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What We're Looking For:

1. Experience : 3-4 years of industry experience, with at least 2 years directly focused on Deep Learning for Computer Vision or Video AI. Proven success in taking models from research to production is a must.

2. Technical Proficiency :

* Exceptional proficiency in Python and PyTorch.

* Deep practical expertise with ONNX for optimization and deployment.

* Hands-on experience with robust data pipelines and model deployment for Computer Vision.

* Proficiency with Linux, CUDA, and OpenCV.

3. Deep Learning Expertise :

* A strong, practical understanding of fundamental Deep Learning concepts.

* Proven experience successfully implementing activity detection or object detection algorithms.

* A keen ability to critically read, understand, and implement state-of-the-art research papers.

Your DNA :

A Builder's Mindset : You are driven by seeing your work in a real product and are excited by the challenges of translating complex ideas into elegant, production-ready solutions.

Relentless Curiosity : You have a passion for exploring new algorithms, continuously learning, and experimenting with new approaches.

Ownership & Impact : You are a self-starter who takes complete ownership of a project from start to finish, driving it to success and ensuring its impact is felt by the product and our users.

Join the Journey :

If you are ready to make a significant impact on the future of AI and contribute to a platform that analyzes billions of seconds of video, we want to hear from you. Apply today to help us build intelligence that matters.