32,629 AI Engineer jobs in India

Job Summary:

The Specialist - Software Development (Artificial Intelligence) leads the design, development, and implementation of AI and machine learning solutions that address complex business challenges. This role requires expertise in AI algorithms, model development, and software engineering best practices. The individual will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making.

Key Responsibilities:

- AI Solution Design & Development:

o Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques.

o Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

o Implement advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision.

- Software Development & Integration:

o Develop scalable AI models and integrate them into software applications using languages such as Python, R, or Java.

o Build APIs and microservices to enable the deployment of AI models in cloud environments or on-premise systems.

o Ensure that AI models are integrated with back-end systems, databases, and other business applications.

- Data Management & Preprocessing:

o Collaborate with data scientists and data engineers to gather, preprocess, and analyze large datasets.

o Develop data pipelines to ensure the continuous availability of clean, structured data for model training and evaluation.

o Implement feature engineering techniques to enhance the accuracy and performance of machine learning models.

- AI Model Evaluation & Optimization:

o Regularly evaluate AI models using performance metrics (e.G., precision, recall, F1 score) and fine-tune them to improve accuracy.

o Perform hyperparameter tuning and cross-validation to ensure robust model performance.

o Implement methods for model explainability and transparency (e.G., LIME, SHAP) to ensure trustworthiness in AI decisions.

- AI Strategy & Leadership:

o Collaborate with business stakeholders to identify opportunities for AI adoption and develop project roadmaps.

o Provide technical leadership and mentorship to junior AI developers and data scientists, ensuring adherence to best practices in AI development.

o Stay current with AI trends and research, introducing innovative techniques and tools to the team.

- Security & Ethical Considerations:

o Ensure AI models comply with ethical guidelines, including fairness, accountability, and transparency.

o Implement security measures to protect sensitive data and AI models from vulnerabilities and attacks.

o Monitor the performance of AI systems in production, ensuring they operate within ethical and legal boundaries.

- Collaboration & Cross-Functional Support:

o Collaborate with DevOps teams to ensure AI models are deployed efficiently in production environments.

o Work closely with product managers, business analysts, and stakeholders to understand requirements and align AI solutions with business needs.

o Participate in Agile ceremonies, including sprint planning and retrospectives, to ensure timely delivery of AI projects.

- Continuous Improvement & Research:

o Conduct research and stay updated with the latest developments in AI and machine learning technologies.

o Evaluate new tools, libraries, and methodologies to improve the efficiency and accuracy of AI model development.

o Drive continuous improvement initiatives to enhance the scalability and robustness of AI systems.

Required Skills & Qualifications:

- Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related field.

- 5+ years of experience in software development with a strong focus on AI and machine learning.

- Expertise in AI frameworks and libraries (e.G., TensorFlow, PyTorch, Keras, Scikit-learn).

- Proficiency in programming languages such as Python, R, or Java, and familiarity with AI-related tools (e.G., Jupyter Notebooks, MLflow).

- Strong knowledge of data science and machine learning algorithms, including regression, classification, clustering, and deep learning models.

- Experience with cloud platforms (e.G., AWS, Google Cloud, Azure) for deploying AI models and managing data pipelines.

- Strong understanding of data structures, databases, and large-scale data processing technologies (e.G., Hadoop, Spark).

- Familiarity with Agile development methodologies and version control systems (Git).

Preferred Qualifications:

- Master’s or PhD in Artificial Intelligence, Machine Learning, or related field.

- Experience with natural language processing (NLP) techniques (e.G., BERT, GPT, LSTM, Transformer models).

- Knowledge of computer vision technologies (e.G., CNNs, OpenCV).

- Familiarity with edge computing and deploying AI models on IoT devices.

- Certification in AI/ML or cloud platforms (e.G., AWS Certified Machine Learning, Google Professional Data Engineer).

Summary
Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

Role Description

• Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
• Experienced in multiple LLM fine tuning techniques.
• Experienced in building GEN AI solutions using RAG architecture.
• Skilled in both Lang Chain and Lang Graph.
• Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
• Experienced in multiple Vector Databases as well as Graph Database
• Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
• End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration – Skilled in API development and integrations.

Implement and optimize AI models within Gain well's existing technology stack, collaborating with software engineers to ensure seamless integration.

• Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
• Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
• AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
• Front End Development – Streamlit is a must. Good to have React, Angular or

What We're Looking For

• Bachelor or Master's or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
• Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
• Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

What You Should Expect in This Role

• Fully Remote Opportunity – Work from anywhere in India.
• Minimal Travel Required – Occasional travel opportunities (0-10%).
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. 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 expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment. 
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills 
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds .
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

About Vuha

At
Vuha

, we're reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that's faster, more accurate, and infinitely scalable.

We're seeking a
Machine Learning Engineer

passionate about building production-grade vision systems — models that
see, learn, and decide

in the real world. You'll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

What You'll Do

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for
  edge deployment

(TensorRT, ONNX).
- Collaborate with software engineers to integrate models into real-time systems.
- Research state-of-the-art techniques in object
detection models.

What We're Looking For

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production

: Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
- Model Innovation & Optimization

: Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. 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 expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment.
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

Nice to Have

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

Why Join Vuha?

• Build AI that powers the physical world —
  factories, not feeds

.
- Work closely with a founder-led engineering team with deep ML roots.
- Competitive pay and early equity in a fast-growing vision startup.
- Freedom to research, experiment, and innovate in production AI.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. 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 expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment. 
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills 
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds .
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. 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 expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment. 
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills 
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds.
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.

• Research to Production : Lead the charge in transforming state-of-the-art research (e.G. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. 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 expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment.
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds .
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.