3,088 Artificial Intelligence jobs in India

About the Role

We are looking for a passionate and curious AI/ML Intern to join our team. You will work closely with our engineering and data teams to support the development of advanced AI models and contribute to impactful projects in the EdTech space. This internship is a great opportunity to gain hands-on experience with machine learning, data analytics, and generative AI technologies in a real-world setting.

Responsibilities

• Support the design and development of AI and ML models aligned with organizational goals.
• Assist in utilizing open-source ML/AI libraries for building and experimenting with models.
• Work with data pipelines: cleaning, preprocessing, and validating data quality.
• Contribute to data analysis and visualization for insights into system performance.
• Help identify patterns in data distributions that affect real-world model accuracy.
• Stay updated on emerging AI/ML trends and contribute to improving existing frameworks.
• Collaborate with cross-functional teams on experiments and proof-of-concepts.

Requirements

• Pursuing a Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• Strong foundation in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
• Knowledge of Machine Learning concepts (supervised/unsupervised learning, NLP basics).
• Exposure to FastAPI or other web frameworks is a plus.
• Interest in Generative AI (GPT, TTS, Text-to-Video, etc.) .
• Familiarity with cloud tools (AWS), Docker, or Kubernetes is an advantage but not mandatory.
• Eagerness to learn, experiment, and solve real-world challenges.

What You’ll Gain

• Hands-on experience in building and deploying AI models.
• Exposure to the EdTech industry and its applications of AI/ML.
• Mentorship from experienced engineers and data scientists.
• Opportunity to work on cutting-edge projects with practical business impact.

AI Architect: BOTS.AI (HR Anexi Vertical)

Location: Mumbai (Andheri West) | Full-time | On-site

Why BOTS.AI (and why now):

HR Anexi has been transforming organisations for 18+ years. With BOTS.AI , we are pioneering India’s first AI consulting vertical dedicated to embedding AI and agentic AI into traditional Indian organisations .

Big Tech builds models. Big 4 sell decks. We embed systems into workflows, scale adoption, and measure ROI.

Our engagements:

• 24-month transformation programs across India's largest FRBs and traditional organisations.
• AI L&D programs (PromptStart → Pro → Masters → OS) across corporates.

Now, we need an AI Architect to design and deploy the agentic operating systems that will power India Inc. for the next decade.

Why This Role Exists:

You’ll be the technical backbone of BOTS.AI consulting projects . Not only designing from scratch, but also deploying existing AI tools and agents into client workflows , ensuring adoption and measurable value.

Where the Principal wins trust in the boardroom, you’ll ensure systems work on the ground.

What You’ll Do:

Design & Blueprinting

• Map client workflows across HR, Finance, Sales, Manufacturing, Operations, more.
• Translate processes into agentic AI architectures : tool-use, retrieval (RAG), orchestration, guardrails, observability.
• Create reference architectures and reusable templates.

Deploy & Integrate

• Evaluate and integrate existing AI SaaS tools and agents (e.g., HR copilots, knowledge assistants, finance AI tools) into client systems.
• Ensure seamless connection to ERPs, CRMs, BI platforms.
• Custom-design when gaps exist, directing engineers or contractors to build.

Measure & Govern

• Set up evaluation frameworks : accuracy, cost/tx, latency, user adoption.
• Build dashboards and reports to track ROI, efficiency gains, and adoption curves.
• Ensure systems meet security, privacy, and compliance standards.

Collaborate & Scale

• Work hand-in-glove with the Principal to shape client solutions.
• Partner with HR Anexi consultants to embed AI in org transformation programs.
• Mentor delivery engineers; define coding, observability, and documentation standards.

Who You Are

• 6–10 years in enterprise architecture, AI systems design, or digital consulting.
• Have shipped at least 2 LLM/agent-based solutions in production, being used by enterprises or actual users.
• Skilled with LangChain, AutoGen, CrewAI, RAG pipelines, eval harnesses.
• Experienced in embedding off-the-shelf AI tools into business workflows .
• Confident in client-facing roles; can explain design trade-offs to non-technical executives.
• Comfortable working at startup pace, but with consulting polish.
• If you've done the above but don't have 6+years of experience, still apply, and we can have a conversation.

Why Join BOTS.AI (HR Anexi)

• Visionary mission : Be part of India’s first AI consulting vertical, under HR Anexi’s trusted transformation brand.
• Dream role : Architect the AI operating systems of India Inc.
• Impact now : We don’t do endless PoCs, we ship pilots in weeks, measure, and scale.
• IP leverage : Every system you design becomes reusable across dozens of clients.
• Be a builder : Work directly with the founder, shape the blueprint for AI consulting in India.

How to Apply

Email

Subject: Application – AI Architect – BOTS.AI

Include:

• CV / LinkedIn
• 2–3 examples of AI/agentic systems you’ve designed or deployed (problem → solution → metrics).
• A 1-pager: Pick a business function (e.g., Finance or HR) and sketch how you’d deploy existing AI tools/agents in 6–8 weeks, and how you’d measure ROI.

Position: Advanced AI Engineer

Location : Bangalore

experience : 5 + Years

Immediate joiner

About the Role

We are seeking an experienced Advanced AI Engineer to join Honeywell’s global technology team. In this role, you will design, develop, and deploy AI solutions that directly impact business outcomes. You will also provide technical leadership , mentor AI engineers, and drive the adoption of best practices in AI/ML across the organization.

This is an exciting opportunity to shape the future of AI within a company recognized for innovation and excellence.

Key Responsibilities

• Lead the design and development of complex AI solutions , ensuring scalability, efficiency, and robustness.
• Collaborate with cross-functional teams to integrate AI into existing products, platforms, and processes.
• Work closely with business leaders and product managers to align AI initiatives with strategic goals.
• Manage the end-to-end AI lifecycle – from project planning and resource allocation to execution and monitoring.
• Provide mentorship and guidance to AI engineers, fostering a culture of innovation and technical excellence.

Qualifications – Must Have

• Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics) .
• 5+ years of experience managing AI/ML-related projects.
• Strong expertise in Machine Learning / Deep Learning with practical deployment experience.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch .

Job Description:

DailyBrief is one of India’s highest-rated news apps, dedicated to delivering reliable and insightful news to its users. We are now looking for an AI Specialist to join our team and drive innovation in building AI-powered solutions that improve user experience and optimize workflows.

Key Responsibilities:

• Design, develop, and deploy AI/ML models to enhance content curation, summarization, and personalization on the DailyBrief platform.
• Work with NLP (Natural Language Processing) techniques for text classification, topic modeling, and semantic search.
• Implement AI-driven recommendation systems to improve content delivery and engagement.
• Collaborate with product, editorial, and engineering teams to translate business needs into AI solutions.
• Research and integrate Generative AI tools (LLMs, transformers, embeddings) for content automation and summarization.
• Optimize models for accuracy, scalability, and efficiency in a production environment.
• Stay updated on AI trends and recommend new tools, frameworks, and best practices.

Skills & Qualifications:

• Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.
• 2–5 years of hands-on experience in machine learning, deep learning, or NLP projects .
• Strong knowledge of Python, TensorFlow/PyTorch, Hugging Face, LangChain, or similar frameworks .
• Experience with LLMs (GPT, LLaMA, Claude, etc.) , fine-tuning, and RAG (Retrieval-Augmented Generation) .
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) for semantic search.
• Exposure to data pipelines, APIs, and deployment on cloud platforms (AWS/GCP/Azure) .
• Understanding of MLOps and model monitoring .
• Prior experience with news/media tech or unstructured text data is a plus.
• Contributions to open-source AI projects are an added advantage.
• Strong analytical, problem-solving, and communication skills.

What We Offer:

• Opportunity to build and scale AI-first products in the news & media domain.
• A collaborative and fast-paced startup culture.
• Freedom to experiment with cutting-edge AI tools.
• Competitive compensation with growth opportunities.

Hiring Alert!

CorroHealth is looking for AI Engineer for our product development team based out for Noida (NCR) Location

Candidates who are available for F2F rounds of interview at our Noida sector 142 office can only apply.

Only Immediate joiners preferred for this role!

Job Description

Exp Range: 2+Years

Location: Noida

Job Summary

We are seeking a talented AI Engineer with expertise in building and deploying AI/NLP solutions using platforms like Microsoft Azure OpenAI and GPT models. The ideal candidate will have a strong background in Python/.NET, prompt engineering, and web development, coupled with experience in leveraging GenAI libraries, cloud infrastructure, and modern frameworks like LangChain. If you have a passion for creating cutting-edge AI applications and solving complex problems, we want to hear from you.

Key Responsibilities

• Develop and implement AI/NLP solutions leveraging platforms like Microsoft Azure OpenAI and GPT models.
• Build and optimize AI/ML pipelines using Python and libraries such as PyTorch, Pandas, Pydantic, and scikit-learn.
• Create, deploy, and maintain robust software solutions, ensuring scalability and reliability.
• Extract data from various sources (text, structured data, databases) and preprocess it for AI applications.
• Design and develop web applications using Python, Ubuntu, MySQL/PostgreSQL, HTML, and JavaScript.
• Work with IDEs such as PyCharm and Visual Studio Code to write, debug, and optimize code.
• Utilize frameworks like LangChain for developing AI workflows and solutions.
• Collaborate with team members to report progress, address challenges, and proactively contribute to project goals.
• Maintain version control and workflow management using JIRA, GitHub, and cloud infrastructure.

Qualifications and Skills

Required Skills:

• AI Expertise: Experience with Microsoft Azure OpenAI and GPT models.
• Programming: Proficiency in Python and/Java or .NET or Reactjs/Nodejs for AI and web development.
• Prompt Engineering: Knowledge of programming languages like Python and JavaScript for designing effective prompts.
• Web Development: Strong experience with Python/Ubuntu/MySQL/PostgreSQL/HTML/JavaScript for building web-based solutions.
• Libraries/Frameworks: Familiarity with Python libraries (e.g., PyTorch, Pandas, scikit-learn, Pydantic) and frameworks like LangChain.
• Data Processing: Expertise in extracting, cleaning, and processing data from diverse sources.
• Tools: Proficient with IDEs such as PyCharm and Visual Studio Code .
• Version Control: Knowledge of JIRA, GitHub, and cloud infrastructure for seamless development and deployment.
• Soft Skills: Strong communication, teamwork, and proactive problem-solving skills.

Preferred Skills:

• Experience with GenAI libraries and frameworks for natural language processing.
• Familiarity with building scalable AI workflows using LangChain.
• Hands-on experience with cloud platforms and managing AI workloads in cloud environments.

Interested candidates are invited to share their updated resumes at with below details

Total Exp:

Current CTC:

Expected CTC:

Notice Period:

Reason for change:

At CorroHealth, we want to assure all job seekers that we do not require any payment or monetary arrangement as a condition for employment. CorroHealth does not authorize any third party, agency, company, or individual to request money or financial contributions in exchange for a job opportunity. If you receive any request for payment or suspect fraudulent activity related to job applications at Corrohealth, please do not respond. Instead, contact us immediately at health.com or report the incident to our Compliance Hotline via orroHealth.”

Company Description

Twinamics is building the Autonomous Brain for Enterprises.

We transform messy, siloed data into real-time intelligence and autonomous actions—helping businesses grow revenue without growing headcount.

At the core of Twinamics is our proprietary DIPPCAA Engine (Data → Insight → Prediction → Prescription → Command → Action → Adaptation). It powers an end-to-end Data-to-Action Infrastructure that connects data, reasons over it, and executes business-critical decisions through AI Employees (AI-CXOs and their Agent Workforce).

If you’re excited to work at the frontier of agentic AI, orchestration frameworks, and enterprise-scale automation —this role is for you.

As an AI Engineer at Twinamics , you’ll:

• Design and implement agentic AI systems with stateful reasoning, memory, and orchestration.
• Develop Digital Twin AI Employees (e.g., Finance CXO, Sales Lead) using LLMs, SLMs, and custom orchestration logic.
• Integrate AI agents with enterprise systems (ERP, CRM, WhatsApp, Accounting APIs, Voice Platforms).
• Build plug-and-play AI templates for cross-industry use cases (hospitality, manufacturing, supply chain, logistics).
• Optimize for scalability: retries, fail-safes, state persistence, and performance tuning.
• Collaborate with product designers and developers to bring enterprise-ready AI infra to life.

Core AI & ML

• Strong background in Machine Learning and Deep Learning (esp. time-series & sequential modeling).
• Experience with LLMs, SLMs, or hybrid architectures for reasoning + prediction.
• Knowledge of probabilistic modeling (Bayesian methods, Monte Carlo, Markov Decision Processes).
• Experience in time-series forecasting (ARIMA, Prophet, RNN/LSTM/GRU, Transformer-based models).
• Familiarity with anomaly detection techniques to capture unexpected signals.
• Understanding of multi-signal fusion (internal + external data streams).
• Strong grasp of causal inference & correlation vs. causation for accurate event detection.

Prescriptive AI & Decisioning

• Ability to move from prediction → prescription (recommend optimal actions, not just forecasts).
• Knowledge of reinforcement learning, optimization algorithms, or decision theory .
• Familiarity with control systems for closed-loop feedback in enterprise workflows.

Data Layer & Infra

• Hands-on with data pipelines (ETL/ELT, Apache Kafka, Airflow, dbt, or similar).
• Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) for memory/state management.
• Strong SQL + NoSQL experience (Postgres, Mongo, etc.) for structured/unstructured data.
• Data architecture skills: schema design, feature engineering, real-time + batch pipelines .

Enterprise Integration

• Ability to connect models into ERP, CRM, Finance, and Supply Chain systems .
• Strong API design & integration skills (REST, GraphQL, gRPC).

Bonus Points

• Exposure to knowledge graphs or graph databases (Neo4j, TigerGraph) for event relationships.
• Familiarity with streaming data (IoT, sensor data, transaction logs) .

AI/ML Engineer – Pharma & Legal Document Intelligence

Experience : 3 years to 5 years

Location: Rajkot (Gujarat) / Hyderabad

Hiring Type : Contract-to-Hire (Initial contract for 6 Months)

About the Role

We at Websmith Solutions are hiring an AI/ML Engineer to design and deploy advanced pharma & legal document intelligence systems. You will leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform patents, molecule structures, regulatory filings, and legal documents into structured, queryable knowledge. The role combines document AI, data engineering, model training, and production deployment.

Key Responsibilities

• Build AI pipelines to parse, summarize, and classify pharma/legal PDFs (patents, molecule structures, court filings).

• Work with SMEs to extract key insights and build chatbots for interactive Q&A.

• Clean and integrate Excel/raw datasets into a central master database.

• Automate ingestion of fresh data from FDA portals, government, and legal websites.

• Customize and fine-tune LLMs on domain-specific data, ensuring high accuracy.

• Deploy and monitor models in production with scalability, reliability, and compliance in mind.

Required Technical Expertise

• Programming & ML Frameworks: Advanced Python, PyTorch/TensorFlow, HuggingFace Transformers, LangChain / LlamaIndex.

• Document Parsing & OCR: PyMuPDF, pdfminer.six, Apache Tika, Tesseract.

• NLP & RAG: embeddings (OpenAI, HuggingFace), vector DBs (FAISS, Pinecone, Weaviate, Milvus), chunking strategies.

• Data Engineering: ETL pipelines, SQL + NoSQL (Postgres, MongoDB), Excel/CSV cleaning & schema design.

• Model Training: fine-tuning transformers, LoRA/PEFT for efficient domain adaptation, dataset annotation/validation.

Nice-to-Have

• Deployment & MLOps: FastAPI/Flask for serving, Docker/Kubernetes for scaling, AWS SageMaker / GCP Vertex AI / Azure ML, MLflow or Kubeflow for monitoring.

• Compliance & Security: secure APIs, encryption, pharma/legal data privacy standards.

• Familiarity with chemical/molecule data formats (SMILES, InChI, RDKit).

• Background in pharma, biotech, or legal domains.

• Prior experience with sensitive, regulated datasets.

Why Join?

• Work on cutting-edge LLM + RAG projects applied to real-world pharma & legal problems.

• Opportunity to own the end-to-end lifecycle: ingestion → training → deployment → monitoring.

• Collaborate with experts across AI, pharma, and legal domains.

About the Company

NeuIQ is a new-age technology services firm specializing in solving enterprise business transformation and experience challenges through cutting-edge, AI-powered data and technology solutions. At the core of our vision is building a scalable and profitable technology implementation business with data engineering as its foundation. Our expertise lies in implementing enterprise SaaS platforms such as Qualtrics, ServiceNow, Snowflake, and Databricks, enabling organizations to unlock actionable insights and maximize the value of their AI and technology investments. With innovation, integrity, and a future-ready mindset, NeuIQ is committed to empowering enterprises to stay relevant, impactful, and ahead in today’s dynamic landscape.

About the Role

Develop Agentic AI-based solutions tailored to client problem statements. Work on multi-agent orchestration, reasoning-enabled AI agents, and LLM-powered autonomous systems. Collaborate across teams and with clients—strong communication is essential.

Qualifications and Required Skills

• 1–3 years of hands-on experience in AI/ML projects, preferably with LLM or Agentic AI systems
• Strong understanding of foundational ML/NLP concepts and modern LLM workflows
• Demonstrated ability to independently build and deploy working AI solutions

Preferred Skills

• Experience with multi-agent systems
• Familiarity with advanced AI techniques

Equal Opportunity Statement

NeuIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

Exp: 6years + Location: Pan India

About the Role

As an Azure Data Scientist/AI Engineer for Agent Development you will be at the forefront of our AI initiatives transforming complex business problems into sophisticated agent-based solutions. You will work closely with cross-functional teams to understand requirements, design agent architectures, implement and optimize agentic behaviors, and ensure seamless integration and deployment on Azure.

Responsibilities

• Agent System Design Architecture: Design, develop and implement end-to-end agent-based AI systems using frameworks such as Autogen, Langgraph, and CrewAI. This includes defining agent roles, communication protocols, and task orchestration.
• Azure Platform Expertise: Leverage a wide range of Azure services including Azure Machine Learning, Azure OpenAI Service, Azure Databricks, Azure Functions, and other relevant data and AI services for building, training, deploying, and managing agent solutions.
• Large Language Model (LLM) Integration: Integrate and fine-tune LLMs (e.g., GPT-x models) via Azure OpenAI within agentic workflows, focusing on prompt engineering, context management, and optimizing LLM interactions for specific tasks.
• Data Preparation & Feature Engineering: Work with diverse datasets on Azure, performing data cleaning, transformation, and feature engineering to prepare data for agent consumption and to enhance agent performance.
• Workflow Orchestration: Develop and manage complex stateful agent workflows using Langgraph for intricate decision-making processes, loops, and conditional logic.
• Multi-Agent Collaboration: Implement and optimize multi-agent collaboration strategies using Autogen to enable agents to converse, delegate tasks, and collectively solve problems.
• CrewAI Implementation: Utilize CrewAI to define and orchestrate collaborative agent crews with distinct roles, tools, and shared objectives for streamlined task execution.
• Tool Development: Develop custom tools and integrations for agents to interact with external APIs, databases, and other systems, extending their capabilities.
• Deployment (MLOps): Operationalize agent solutions on Azure including containerization (Docker, Kubernetes/AKS), setting up CI/CD pipelines, monitoring agent performance, and implementing robust MLOps practices for continuous improvement.
• Performance Optimization & Scalability: Identify and implement strategies to optimize the performance, efficiency, and scalability of agent systems on Azure.
• Research & Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and agentic AI frameworks, researching and evaluating new technologies for potential application.
• Collaboration & Communication: Work effectively with data engineers, software engineers, product managers, and business stakeholders to translate requirements into technical solutions and communicate complex concepts clearly.
• Responsible AI: Ensure the ethical development and deployment of AI agents, addressing bias, fairness, transparency, and security concerns.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. If PhD, will be good.
• Proven experience (1-2yrs) as a Data Scientist or AI Engineer with a strong focus on building and deploying machine learning or AI solutions.
• Deep expertise in Azure cloud services, specifically Azure Machine Learning, Azure OpenAI Service, Azure Databricks, Azure Functions, Azure Data Lake Storage, etc.

Required Skills

• Strong programming skills in Python, Python, PyTorch, TensorFlow, Scikit-learn.
• Hands-on experience with agent orchestration frameworks:
• Autogen: Experience in building multi-agent conversational systems and enabling dynamic collaboration.
• Langgraph: Proficiency in designing and implementing stateful graph-based agent workflows with complex logic.
• CrewAI: Experience in orchestrating role-playing autonomous AI agents for collaborative task execution.
• Solid understanding of Large Language Models (LLMs), prompt engineering, and RAG (Retrieval Augmented Generation) techniques.
• Experience with MLOps practices including CI/CD, model monitoring, and version control (Git).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills.

Preferred Skills

• Experience with additional programming languages or frameworks.
• Knowledge of industry-specific applications of AI.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.