34,597 AI Engineering Positions jobs in India

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.

As an AI Engineer on the founding team, you won't just write code, you'll architect, experiment, and build AI systems that power the future of software interoperability. You'll work directly with the founders, take ownership of major technical decisions, and help define the trajectory of our product and platform. We move fast. We build a lot. And we have fun while doing it.

Here's what you'll do:

• Implement retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data and context.
• Apply advanced techniques in prompt engineering, transfer learning, and custom model training.
• Optimize model performance and cost across production environments.
• Work with tools like Hugging Face, LangChain, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate).
• Deploy scalable models using cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
• Collaborate with global teams and researchers in a fast-paced, remote-first setup.

Must-haves:

• 1+ years of experience in AI/ML with deep exposure to Generative AI, LLMs, and NLP.
• Proficient in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX.
• Solid understanding of Transformer architectures (GPT, T5, BERT, Claude, Gemini, etc.).
• Experience deploying models in production using cloud infrastructure and MLOps practices.
• Familiarity with SQL/NoSQL and data manipulation at scale.
• Excellent analytical skills and ability to break down complex problems into production-ready solutions.
• Comfortable working 5+ hours overlapping with Pacific Time (PT).
• Strong communication and asynchronous collaboration skills.

Role & responsibilities

Bachelors degree in engineering computer science or a related field

12 to 16 years of total experience with at least 3 years of experience leadingmanaging AIML projects Worked in Predictive modeling projects achieving clear measurable business objectives

Good understanding of US Health insurance with at least 2 years of experience in the same

Experience and understanding of the entire MLOps pipeline from data ingestion to production

Strong understanding of AIML concepts algorithms including supervised unsupervised and reinforcement learning as well as MLOps

Proven ability to take successful complex ideas from experimentation to production

Handson experience with Google Cloud Platform GCP or any public cloud platform

Excellent communication presentation and interpersonal skills

Proven experience in leading motivating inspiring teams to foster collaboration

Proficient in identifying assessing and calling out risks and mitigation plans to stakeholders

Experience in implementing process improvements and learning from past projects to enhance future performance

Ability to analyze external and internal processes and create strategies for service delivery optimization

Experience in working with diverse teams and stakeholders understanding their needs and managing expectations

Experience In handling team managing multiple stakeholders"

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.

Internship | Hybrid/Remote

We're offering an exciting opportunity to work on real healthcare challenges using AI.

What You'll Do

• Support model development for medical imaging or predictive healthcare use cases
• Work with real datasets to clean, preprocess, and experiment on small-scale models
• Collaborate with the AI team to research, test, and improve model performance
• Document learnings and contribute to prototypes

What We're Looking For

• Solid Python fundamentals and hands-on experience with PyTorch or TensorFlow
• Exposure to machine learning concepts (via coursework or projects)
• Curiosity to explore AI in real-world healthcare settings
• Bonus: Knowledge of OpenCV, EDA, or Kaggle participation

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