24,274 Machine Learning Engineers jobs in India

Key Responsibilities

What You’ll Work On

What You Bring

Education/ Certifications

Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field.

Preferred Skills

Why Join Netsmart?

Diversity & Inclusion

We believe in building a workplace where everyone belongs. We welcome applicants from all backgrounds and experiences.

Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.

Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.

Job Title:
Deep Learning & Computer Vision Engineer

Company:
Designing Alley

Location:
On-site

Employment Type:
Full-Time

Experience:
3–5 Years

About Us

Designing Alley is an innovation-driven startup building advanced solutions in
automation, AI, and computer vision
. We combine creativity with technology to deliver groundbreaking products that redefine industries. If you're passionate about AI and want to work on cutting-edge projects, join us and make an impact.

Role Overview

We are seeking a
Deep Learning & Computer Vision Engineer
to design, develop, and deploy AI-powered solutions. You will be responsible for building real-time computer vision pipelines, implementing state-of-the-art deep learning models, and bringing research concepts into production. This is an exciting opportunity to work in a
fast-paced startup environment
where your work directly shapes innovative products.

Key Responsibilities

• Design and implement
  deep learning models
  for image classification, object detection, segmentation, and tracking.
• Develop
  computer vision pipelines
  for real-time applications.
• Research and apply the latest
  AI and computer vision techniques
  from research papers to production systems.
• Deploy, optimize, and maintain models on
  cloud platforms
  (AWS, GCP, Azure).
• Work with large datasets, performing preprocessing and
  data augmentation
  .
• Collaborate with cross-functional teams to integrate AI into products.
• Monitor model performance and improve efficiency.
• Mentor junior engineers
  and support team knowledge sharing.

Required Skills & Qualifications

• 3–5 years of experience in
  deep learning and computer vision
  .
• Proficiency in
  Python
  and frameworks like
  TensorFlow, PyTorch, Keras
  .
• Strong understanding of
  OpenCV
  and computer vision algorithms.
• Hands-on experience with neural architectures (
  CNNs, YOLO, ResNet, Transformers
  ).
• Experience deploying models on
  AWS/GCP/Azure
  and knowledge of
  MLOps
  (Docker, Git, CI/CD).
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Experience with
  ROS
  and robotics applications.
• Knowledge of
  model optimization techniques
  (quantization, pruning).
• Familiarity with
  edge deployment
  (TensorFlow Lite, ONNX).
• Startup experience and ability to thrive in a dynamic environment.
• Contributions to
  open-source projects
  or published research.

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.

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