16,347 Generative AI jobs in India

Job Title: Remote Internship – Generative AI / Artificial Intelligence/Python

Location: Remote (India – open to candidates across the country)

Job Type: Internship (0–6 months experience / Freshers welcome)

Client details – confidential with be discuss in interview.

We are looking for motivated and enthusiastic candidates to join our team as
Interns
on projects involving
Generative AI and Artificial Intelligence
. This role provides an excellent opportunity to gain hands-on experience working on cutting-edge AI technologies and real-world applications.

Responsibilities

• Assist in development and research for projects related to
  Generative AI
  .
• Contribute to building, testing, and optimizing AI models.
• Work with the team on data preprocessing, model evaluation, and deployment tasks.
• Support project documentation and reporting.
• Collaborate with senior team members to solve technical challenges.

Required Skills

• Python programming
  proficiency (essential).
• Academic or project experience in
  AI/ML, Generative AI, or related domains
  .
• Familiarity with AI tools, frameworks, or libraries (such as TensorFlow, PyTorch, Hugging Face, LangChain, or similar).
• Strong analytical and problem-solving mindset.
• Ability to learn quickly and work independently in a remote setup.

Eligibility

• Freshers
  or candidates with
  0–6 months of relevant experience
  .
• Bachelor's/Master's degree students or recent graduates in Computer Science, Information Technology, Data Science, AI/ML, or related fields.

What We Offer

• Remote internship with flexible working.
• Exposure to real-world projects in the
  Generative AI
  domain.
• Opportunity to learn and grow in a fast-paced environment.

Exp: 2 – 5 Years
Location: Bangalore
Work Mode: WFO - 5 Days
Job Type: Full-Time
Mandatory Skills: Python, Gen AI - Chat GPT, , Image Parsing, Automation, Image Intelligence, Chatbots, Billing, Claims Processing and Gen Z user experience.
Role Overview
We are looking for a passionate 2+ Years of experience in Gen AI Engineering with at least 1 year of quality hands-on experience in building intelligent systems. You'll work at the intersection of , Generative AI, and automation, enabling solutions in image parsing, billing automation, claims processing, and chatbot development for the Gen Z user base.

Key Responsibilities

• Develop & deploy automation solutions using and AI frameworks
• Build and integrate ChatGPT-powered conversational agents
• Design and implement image parsing and classification pipelines
• Automate billing processes and claims handling workflows
• Apply Gen AI to optimize internal operations and user-facing services
• Stay current on AI trends and tools, focusing on Gen Z user experience

Tech Stack

• Languages: JavaScript ), Python (preferred for AI pipelines)
• AI Tools: OpenAI (ChatGPT), Hugging Face, TensorFlow/PyTorch
• Automation: Zapier, n8n, custom scripts
• Image Processing: OpenCV, Tesseract, AWS Rekognition
• Cloud: AWS, GCP or Azure
• Version Control: Git

Must-Have Skills

• Strong experience in backend development
• Working knowledge of Gen AI tools (e.g., ChatGPT API, LangChain)
• Hands-on experience in image classification or parsing
• Exposure to workflow automation
• Solid understanding of billing or claims systems is a plus
• Experience building products for Gen Z
• Familiarity with chatbot frameworks (Dialogflow, Rasa, etc.)
• Basic frontend experience (React or similar)

Education: Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.

Skills: parsing,building,skills,chatbot,image,classification,,pipelines,automation,aws,processing,python,gen ai,gen z,chat gpt

Job Title: Senior Machine Learning Engineer - Generative AI

Experience: 5-8 years

Location: Gurugram

Notice Period: Immediate to 30 days

Summary

As a Machine Learning Engineer, you will be a key member of the engineering team responsible for the advanced technical support, development, and deployment of machine learning models, with a special focus on Generative AI. You will be a critical contributor to the design and implementation of end-to-end software lifecycles for AI and machine learning products, ensuring high-quality and scalable solutions. This role requires a deep understanding of both machine learning principles and software engineering best practices, with a proven track record of bringing complex models from research to production, particularly within the Microsoft Azure ecosystem.

Responsibilities

• Lead the design, development, and deployment of production-level machine learning models, with a focus on generative AI models such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs).
• Provide advanced technical support for existing AI models, including bug fixes, addressing complex issues, and facilitating model expansion for new business cases.
• Act as a liaison between data scientists, cloud engineers, data engineers, and the business team to diagnose and resolve issues related to model performance and deployment.
• Lead the continuous improvement of support processes and workflows for ML applications.
• Develop, monitor, and maintain end-to-end machine learning pipelines (MLOps) including data preparation, feature engineering, model training, and deployment.
• Utilize Azure AI Foundry to build, test, and deploy cutting-edge AI-driven solutions and generative AI applications.
• Build model performance benchmarking, evaluation, and monitoring capabilities.
• Assess model performance to understand bugs, inefficiencies, and their root cause.
• Document and communicate best practices and troubleshooting procedures to support teams and stakeholders.
• Coordinate and mentor the Machine Learning Engineering team, promoting best practices and code quality.
• Stay current with the latest advancements in AI and machine learning technologies to provide informed support and recommendations.

Required Skills

• Minimum 4-7 years of experience in creating, deploying, monitoring, and maintaining machine learning models in cloud environments.
• At least 2-3 years of hands-on experience in developing and deploying Generative AI models.
• Strong experience working with advanced data analysis on large datasets.
• Hands-on experience with Azure for managing the end-to-end ML lifecycle.
• Proven experience with Azure AI Foundry for building and deploying AI-driven solutions.
• Familiarity with Snowflake and its AI/ML offerings.
• Experience in both front-end(UI/UX) and backend (API development, database management) technologies to build end-to-end solutions.
• Proficiency with data science and data engineering tools such as scikit-learn, XGBoost, pandas, NumPy, SciPy, and Jupyter notebooks.
• Strong understanding of software engineering tools and practices (Python, Git, CI/CD principles).
• Strong understanding of front-end technologies(like Javascript, React, Angular) and backend frameworks (eg Flask, Django)
• Experience with visual analytics platforms (e.g., Tableau, Streamlit).
• Database and other data storage technologies
• System infrastructure knowledge in Linux (Bash, Docker, CRON, Apache Airflow).
• Excellent problem-solving skills and attention to detail.
• Must be able to function independently as well as work in a collaborative team environment.
• Willingness to teach and learn new technologies.

What do we expect from you?

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven experience in building Azure Cloud solutions.
• Experience with content management systems (CMS) and data management tools.
• Familiarity with AI/ML frameworks and libraries.
• Knowledge of global content standards and regional data regulations.
• Familiarity with CI/CD pipelines and version control systems such as Git.
• Strong debug and troubleshooting skills.
• Effective oral and written communication skills; ability to articulate clearly and concisely.
• You have worked with Agile Methodologies following SCRUM.

Qualifications:

• 4 to 6 years of strong hands-on experience in Python programming.
• Minimum 2 years of experience working with AI tools and technologies.
• At least 1 year of experience as a Generative AI Content Architect.
• Successfully delivered 2–3 AI implementation projects or use cases.
• Solid understanding of AI solution implementation, including data architect and content management.

Job Type: Full-time

Pay: ₹2,000, ₹2,800,000.00 per year

Work Location: In person

Job Description

Job Title:
Generative AI (Gen AI) Trainer

Location:
Hyderabad (On-Site)

Employment Type:
Full-Time

Experience:
Minimum 2 years of experience in AI/ML training or industry projects involving Generative AI

About KIT Skill Hub

KIT Skill Hub is one of the fastest-growing training and skill development platforms, helping students and professionals build industry-ready expertise. We partner with universities, corporates, and experts to deliver hands-on learning experiences that prepare learners for real-world careers.

Job Summary:

KIT Skill Hub is seeking a passionate and experienced
Generative AI Trainer

to deliver high-quality, industry-relevant training programs. The ideal candidate will have a strong command of modern AI/ML concepts, hands-on expertise with Generative AI frameworks and Large Language Models (LLMs), and the ability to guide learners through practical, real-world projects.

Key Responsibilities

• Curriculum Design & Delivery

: Develop and deliver comprehensive training modules on
Generative AI, Large Language Models (LLMs), and AI/ML fundamentals

, ensuring content is current with industry trends.

• Hands-On Training

: Conduct interactive sessions covering
Prompt Engineering, Natural Language Processing (NLP), LangChain, RAG (Retrieval-Augmented Generation), OpenAI APIs, Hugging Face tools

, and other Gen AI applications.

• Project Guidance

: Mentor learners through capstone projects, including the design and deployment of AI-powered applications.

• Assessment & Feedback

: Evaluate student progress with assignments, assessments, and one-on-one feedback to ensure learning outcomes are met.

• Collaboration

: Work with KIT Skill Hub's academic team to refine course materials, incorporate the latest AI advancements, and maintain training quality.

• Continuous Learning

: Stay updated with emerging trends in Generative AI, LLM architectures, and cloud-based AI services to keep the curriculum cutting-edge.

Required Skills and Qualifications

• Proven experience as an
  AI/ML Trainer

, Data Scientist, or AI Engineer with direct exposure to
Generative AI

technologies.

• Strong proficiency in
  Python

and AI/ML libraries such as
TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers

.

• Hands-on experience with
  LLMs (e.g., GPT, Falcon, LLaMA)

,
LangChain

,
prompt engineering

, and building RAG-based applications.

• Solid understanding of
  NLP

, data preprocessing, and deployment of AI models.

• Familiarity with
  cloud platforms

(AWS, Azure, or GCP) and model hosting services.

• Excellent communication, presentation, and mentoring skills to explain complex concepts clearly to a diverse audience.

• Bachelor's or Master's degree in
  Computer Science, Artificial Intelligence, Data Science

, or a related field.

Preferred Qualifications

• Industry certifications in AI/ML or cloud technologies (e.g., AWS AI/ML, Azure AI Engineer).
• Experience in developing and deploying AI-driven applications in production environments.
• Prior experience conducting corporate or classroom training programs.

At LeadSquared, we like being up to date with the latest technologies and utilizing the trending tech stacks to build our product. By joining the engineering team, you get to work first-hand with the latest web and mobile technologies and solve the challenges of scale, performance, security, and cost optimization.

We are also embedding agentic AI capabilities across product lines—so our systems move beyond rule-based automation and become intelligent, autonomous assistants that augment customer and agent experiences.

Role

We are seeking a
Director of Engineering
to build and lead one of our engineering teams. This team is responsible for
evolving a product line
that serves high-growth B2C, D2C companies, and large enterprises.

We are looking for an experienced leader who has scaled enterprise products, solved complex challenges in SaaS environments, and can
drive AI adoption and innovation
as part of product evolution.

Working with the Engineering Team @ LeadSquared

The Director of Engineering will lead the evolution of a product line that addresses challenges such as:

How can we help agents resolve customer problems faster?

How do we deliver a seamless omni-channel experience for agents?

How do we build a solution that is fully configurable, yet performant (

How do we create a continuous delivery platform to ship features weekly across multiple regions?

How do we scale the system to support millions of users while controlling cloud costs?

How do we embed agentic AI into the product line—AI agents that reason, act, and learn—to augment customer and agent experiences?

A Day in the Life of an Engineering Director

• Build and manage multiple high-performing engineering teams.
• Collaborate with Product Management to define release roadmaps aligned with business goals.
• Provide technical leadership to deliver software that is maintainable, observable, and performant.
• Continuously improve infrastructure and processes to increase team productivity.
• Drive AI adoption across engineering functions (developers, QA, DevOps) by integrating AI-assisted coding, testing, automation, and monitoring into workflows.
• Build an engineering culture of quality (TDD, BDD, Code Quality, Automation, Continuous Delivery).
• Partner with AI/ML teams to deliver product-level innovation—contextual recommendations, autonomous workflows, and intelligent service agents.

Experience

• 2–5 years of experience in building and shipping enterprise SaaS products.
• Strong technical background, preferably in building systems that operate at scale.
• Proven success in leading large engineering teams with strong delivery predictability.
• Comfortable working cross-functionally and translating business goals into actionable engineering roadmaps.
• Track record of owning product delivery commitments and improving productivity.
• Experience driving AI adoption across engineering teams and guiding the integration of agentic AI into enterprise-grade systems.
• Excellent interpersonal skills to influence stakeholders and coach teams.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer, you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering, with a focus on GenAI technologies, and possess a solid understanding of programming, event-driven architectures, containerization, and data lakes.

Responsibilities:

• Partner with product, ML, and DevOps teams to translate business goals into GenAI software solutions.
• Design, build, and maintain Python-based GenAI services, APIs, and micro-services—leveraging FastAPI for REST endpoints as well as WebSockets and WebRTC for real-time, bi-directional communication.
• Implement event-driven architectures (e.g., Kafka, Pub/Sub) for low-latency data ingestion and inference.
• Containerize and orchestrate services with Docker and Kubernetes for reliable, scalable deployments.
• Engineer data-lake integrations that handle high-volume structured and unstructured data for RAG and fine-tuning workflows.
• Enforce modular, reusable, and secure code practices (authN, authZ, secrets management, OWASP).
• Collaborate closely with data scientists on model packaging, versioning, and inference endpoints.
• Automate testing and CI/CD pipelines (GitHub Actions, Azure DevOps, or AWS CodePipeline) to ensure rapid, reliable releases.
• Author and maintain technical documentation, architecture diagrams, and runbooks.
• Track emerging GenAI and Python ecosystem advances; champion best practices and continuous improvement.

*Requirements: *

• Python Expertise: 4+ years of building production systems with deep knowledge of OOP, type hints, asyncio/concurrency, and performance tuning.
• Web & API Development: Extensive FastAPI (or Flask) experience creating scalable REST/JSON endpoints around LLM services.
• System Architecture: Demonstrated ability to design decoupled, event-driven, cloud-native systems that scale horizontally and remain maintainable.
• Cloud & Containers: Hands-on with Docker and Kubernetes, deploying workloads to Azure AKS, AWS EKS, or GKE.
• Version Control & CI/CD: Advanced Git workflows plus automated testing, build, and release pipelines (GitHub Actions, Azure DevOps, or AWS CodePipeline).
• Security & Compliance: Familiarity with OAuth 2.0/JWT, secrets management, and relevant data privacy regulations.

*Preferred Skills: *

• Gen AI Frameworks: Experience with LLM frameworks or tools for interacting with LLMs such as LangChain, LangGraph, AutoGen and CrewAI
• Data Pipelines: Experience in setting up data pipelines for model training and real-time inference.

*Professional And Educational Background *
:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech

If you are passionate about GenAI technologies and have a proven track record in software engineering, join PwC US as a Senior Associate GenAI Software Engineer. You will have the opportunity to make a significant impact and contribute to the success of our GenAI projects. We offer a collaborative and innovative work environment where you can grow your skills and advance your career.

PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer, you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering, with a focus on GenAI technologies, and possess a solid understanding of programming, event-driven architectures, containerization, and data lakes.

*Professional And Educational Background *
:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech

If you are passionate about GenAI technologies and have a proven track record in software engineering, join PwC US as a Senior Associate GenAI Software Engineer. You will have the opportunity to make a significant impact and contribute to the success of our GenAI projects. We offer a collaborative and innovative work environment where you can grow your skills and advance your career.

Job Title: Generative AI (Gen AI) Trainer

Location: Hyderabad (On-Site)

Employment Type: Full-Time

Experience: Minimum 2 years of experience in AI/ML training or industry projects involving Generative AI

About KIT Skill Hub:

KIT Skill Hub is one of the fastest-growing training and skill development platforms, helping students and professionals build industry-ready expertise. We partner with universities, corporates, and experts to deliver hands-on learning experiences that prepare learners for real-world careers.

Job Summary

KIT Skill Hub is seeking a passionate and experienced Generative AI Trainer to deliver high-quality, industry-relevant training programs. The ideal candidate will have a strong command of modern AI/ML concepts, hands-on expertise with Generative AI frameworks and Large Language Models (LLMs), and the ability to guide learners through practical, real-world projects.

Key Responsibilities

• Curriculum Design & Delivery: Develop and deliver comprehensive training modules on Generative AI, Large Language Models (LLMs), and AI/ML fundamentals, ensuring content is current with industry trends.

• Hands-On Training: Conduct interactive sessions covering Prompt Engineering, Natural Language Processing (NLP), LangChain, RAG (Retrieval-Augmented Generation), OpenAI APIs, Hugging Face tools, and other Gen AI applications.

• Project Guidance: Mentor learners through capstone projects, including the design and deployment of AI-powered applications.

• Assessment & Feedback: Evaluate student progress with assignments, assessments, and one-on-one feedback to ensure learning outcomes are met.

• Collaboration: Work with KIT Skill Hub's academic team to refine course materials, incorporate the latest AI advancements, and maintain training quality.

• Continuous Learning: Stay updated with emerging trends in Generative AI, LLM architectures, and cloud-based AI services to keep the curriculum cutting-edge.

Required Skills and Qualifications

• Proven experience as an AI/ML Trainer, Data Scientist, or AI Engineer with direct exposure to Generative AI technologies.

• Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.

• Hands-on experience with LLMs (e.g., GPT, Falcon, LLaMA), LangChain, prompt engineering, and building RAG-based applications.

• Solid understanding of NLP, data preprocessing, and deployment of AI models.

• Familiarity with cloud platforms (AWS, Azure, or GCP) and model hosting services.

• Excellent communication, presentation, and mentoring skills to explain complex concepts clearly to a diverse audience.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Preferred Qualifications

• Industry certifications in AI/ML or cloud technologies (e.g., AWS AI/ML, Azure AI Engineer).
• Experience in developing and deploying AI-driven applications in production environments.
• Prior experience conducting corporate or classroom training programs.

Job Type: Full-time

We are seeking for a versatile and client-focused Machine Learning and Generative AI Engineer. In this role, you will leverage your expertise in AI/ML to design and deliver innovative solutions for diverse clients across industries. You will be responsible for identifying opportunities, developing custom AI strategies, and implementing scalable models to address unique business challenges.