12,698 Artificial Intelligence jobs in India

Tired of building models that sit on a shelf?

Tired of traditional software? So are we. Petrabytes empowers the oil and gas industry with cutting-edge scientific software. We believe in collaboration and continuous learning to push technology forward. Join us to turn complex data into powerful solutions.

What You'll Need :

Experience :

We welcome experienced engineer 4+ years with strong expertise in designing, developing, and deploying machine learning modles.

Your Role in Action

• Model Development: You'll be at the forefront of our AI efforts, designing, training, and optimizing machine learning and deep learning models. You'll work with large datasets, applying your expertise in feature engineering, preprocessing, and validation to build robust and accurate models.
• Deployment & Integration: You won't just build models; you'll get them into the hands of our users. You will deploy models into production using MLOps best practices and cloud platforms. You'll also build scalable pipelines for training and serving models and integrate your AI solutions directly into our applications and APIs.
• Collaboration & Research: You will work closely with data engineers to build robust data pipelines. You will also partner with product managers to turn business needs into concrete AI/ML use cases. You will also monitor model performance and retrain models as needed.

Must Have Skills

• Programming Expertise: You have strong programming skills in Python and are highly proficient with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Model Deployment: You have hands-on experience deploying models on cloud platforms such as AWS SageMaker, GCP , or Azure ML.
• ML Fundamentals: You have a solid understanding of machine learning fundamentals, including supervised ,unsupervised learning and reinforcement learning and are proficient with version control (Git) and CI/CD for machine learning.
• Data Proficiency: You have experience with data preprocessing, feature engineering, and model evaluation.

Ready to apply and keep learning with us?

Job Type: Full-time

Pay: ₹1,001, ₹1,528,604.24 per year

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person

Artificial Intelligence & Machine Learning Intern

Location:
Remote (Work From Home)

Duration:
3 Months

Stipend (Top Performers):
₹15,000

Perks:
Internship Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance)

About
INLIGHN TECH

INLIGHN TECH provides
hands-on, project-driven virtual internships
that help students and fresh graduates gain industry-ready skills. The
AI & ML Internship
is designed to give you practical exposure to
data science, machine learning algorithms, and AI applications
, preparing you for a fast-growing tech career.

Internship Overview

As an
AI & ML Intern
, you'll explore
data preprocessing, model building, and AI-driven solutions
. You will work with real-world datasets to develop intelligent systems, gaining practical insights into the
end-to-end machine learning workflow
.

Qualifications

• Pursuing or completed a degree in
  Computer Science, Data Science, AI/ML, or related fields
• Knowledge of
  Python
  and libraries like
  NumPy, Pandas, Matplotlib
• Familiarity with
  Machine Learning frameworks
  (Scikit-learn, TensorFlow, PyTorch)
• Understanding of
  data preprocessing & model evaluation
• Interest in
  AI-driven problem solving
• Strong analytical & logical thinking

What You'll Gain

• Practical experience in
  AI & ML projects
• Internship
  Certificate
  &
  Letter of Recommendation
• Opportunity to work on
  real-world datasets

• Databricks certifications (e.g., Databricks Certified Machine Learning Professional, Data Engineer Associate).
• Experience with real-time data processing, feature stores, and streaming ML.
• Familiarity with AI governance, explainable AI, and responsible AI frameworks.
• Experience with tools such as Airflow, Terraform, or cloud-native ML services (SageMaker, Vertex AI, Azure ML).
• Bachelors or Masters degree in Computer Science, AI/ML, Data Engineering, or a related field.
• Al/ML specialist with 10+ years of experience in financial services.
• Expertise in LLMs, NLP, and Al model lifecycle management.
• Deep knowledge of Databricks, Azure ML, and scalable Al architectures.
• Experienced in leading high-performing engineering teams and Al governance in regulated environments.
• Deep hands-on experience with Databricks (including Spark, Delta Lake, MLflow).
• Strong programming skills in Python, SQL, and Spark (Scala or PySpark).
• Proven experience architecting AI solutions on cloud platforms (AWS, Azure, or GCP).
• Knowledge of machine learning, deep learning, and statistical modeling.
• Experience with CI/CD pipelines, MLOps tools, and containerization (Docker, Kubernetes).

Role Type : Full-time | Hands-On AI/ML Leadership

Role Overview :

We are seeking a hands-on AI/ML Lead who will design, develop, and deploy AI-driven lending automation solutions with a focus on NLP workflows, GenAI orchestration, and valuation process automation. This is a 50% coding and delivery role, 50% architecture and leadership role. You will work directly with our Engineering Lead, Data Engineering Team, Product Managers, and UK-based stakeholders to define, architect, and integrate AI capabilities seamlessly into our + React enterprise platform.

Key Responsibilities :

AI Solution Architecture & Development :

• Architect and implement end-to-end AI/ML features aligned with lending workflows :

• NLP Document Parsing OCR, entity extraction, semantic search, summarization, classification.

• Valuation Automation Predictive modeling for asset and loan valuations.

• GenAI Orchestration Multi-step, multi-service automation workflows.

• Develop production-grade AI services in Python, integrating with REST/GraphQL APIs, microservices, and event-driven architectures.

• Integrate GenAI APIs (OpenAI GPT, Anthropic Claude, AWS Comprehend, Google Vertex AI, etc.) into existing systems.

Model Lifecycle Management :

• Select, train, fine-tune, and deploy models (LLMs, transformer-based models, classical ML).

• Implement model monitoring pipelines for accuracy, drift detection, bias evaluation, and retraining triggers.

• Optimize inference latency, throughput, and scalability for production workloads.

Data Readiness & Governance :

• Collaborate with Data Engineering to ensure AI-ready data pipelines (schema design, storage format, vectorization strategies).

• Establish data labeling, augmentation, and versioning processes for supervised and semi-supervised learning.

• Ensure compliance with data privacy regulations (GDPR, RBI guidelines) and ethical AI principles.

AI Workflow Orchestration :

• Design and implement multi-step AI orchestration layers combining LLM prompts, RAG (Retrieval-Augmented Generation), and business rules.

• Build custom prompt chains and tools to handle complex workflows like Credit Committee Pack creation and communication parsing.

Stakeholder Collaboration & Leadership :

• Translate complex AI concepts into clear business benefits for non-technical stakeholders.

• Mentor and guide developers on AI integration best practices.

• Track AI feature KPIs and demonstrate measurable business impact.

Required Skills & Experience :

• Total Experience : years in software engineering, with 3+ years hands-on AI/ML solution delivery.

• Proven record of deploying AI/NLP features in production environments.

• Proficiency in Python (FastAPI, Flask, LangChain, Hugging Face Transformers, PyTorch/TensorFlow).

• Strong experience with NLP pipelines tokenization, embeddings, semantic search, summarization, classification, sentiment analysis.

• Expertise in AI orchestration frameworks (LangChain, Haystack, LlamaIndex) and workflow automation.

• Proficient in REST API design, microservices, and integrating AI with JavaScript/TypeScript-based backends.

• Deep understanding of data structures, feature engineering, and vector databases (Pinecone, Weaviate, FAISS).

• Solid grasp of MLOps tools (MLflow, Kubeflow, AWS SageMaker, Azure ML).

• Familiarity with cloud-native AI deployments (AWS, Azure, GCP).

• Strong communication skills for technical-to-business translation.

Bonus Skills :

• Fintech or lending automation platform experience.

• Familiarity with financial document workflows (KYC, underwriting, valuation reports).

• Hands-on experience with RAG pipelines, prompt engineering, and custom LLM training.

Selected Intern's Day-to-day Responsibilities Include

• Data & Model Development
• Technical Implementation
• Collaboration & Learning
• Research & Development

About Company: We provide "Smart analytics & expert solutions" to your e-commerce business. At 7 Sages Solutions, we believe in being honest and providing intelligent, actionable solutions to customers

Salary

As per the industry standard

Location

Kolkata

Job Information

We are looking for an exceptional hands-on Artificial Intelligence Developer with a proven track record of experience in applying machine learning & Deep Learning methods.

• Develop transformative AI solutions to address our clients' business requirements and challenges
• Understand latest industrial and academic developments in AI/ML, application in diverse domains and user experience for next generation devices and create prototypes for demonstration.
• Conceptualize, Design, build and develop proto types which demonstrate the required functionality rapidly
• Collect, propose requirements and create effective product/feature roadmap.
• Work with development teams to mature these algorithms into production quality programs
• Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers

• Hand-on experience in AI research or application development
• Exceptional hands-on research scientist with a proven track record of experience in applying machine learning methods towards solving real-world problems.
• Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods.
• Experience in artificial intelligence and its practical application to the creation of interactive systems, with specific emphasis in two or more of the following areas: Sequence tagging, Intent classification, Information extraction and Reinforced learning.

• A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU
• Good knowledge in latest AI system design and architecture.
• Experience in development of end-to-end AI based products.
• Excellent understanding of complex system architecture, components and requirements.
• Very good python programming skills. Java programming skills a bonus.
• Detailed oriented and penchant for data quality control.
• Experience in deploying state-of-the-art, data-driven learning algorithms to solve business problems.

Employment Type

Full Time

Experience

2 yrs

Selected Intern's Day-to-day Responsibilities Include

• Implementing AI Models in our traditional real estate business.
• Making New agents , Finding Ways and places to implement AI in our conventional business
• Creating custom flows and agents

About Company: Stylestry Ventures is an e-commerce company dealing in women's footwear. We are into the e-commerce industry for the past 8 years and have established ourselves as the largest retailer of women footwear (our brands are Shoetopia, Shezone, Orysta, Histeria, Stylestry, etc.) in North India on all major e-commerce websites like Myntra, Flipkart, etc. with an order volume of over 10,000 units per day. Now, we have decided to further expand our business by launching our website.

Selected Intern's Day-to-day Responsibilities Include

• Research & innovation:
• Study the latest trends in AI-powered toys, child interaction, and learning tools.
• Suggest creative ideas for enhancing toy interactivity using AI (voice, motion, sensors).
• AI & software development support:
• Assist in training and testing simple AI models for speech recognition, basic Q&A, and interactive play.
• Help in integrating AI modules (voice assistants, educational games, music, storytelling, etc.).
• Hardware & prototyping:
• Work with microcontrollers (Arduino, Raspberry Pi, ESP32, etc.) to connect sensors and actuators.
• Support in assembling and testing toy prototypes with basic coding.
• Data collection & training:
• Collect and organize data (voice samples, children's interaction patterns, images) to train models.
• Perform basic annotation and testing of datasets for accuracy.
• Testing & quality analysis:
• Test toy prototypes for safety, user-friendliness, and engagement.
• Document errors/bugs and suggest improvements.
• Collaboration & documentation:
• Work with the design and manufacturing team to align AI with plush toy structure.
• Prepare reports, presentations, and demo videos for project updates.

About Company: Cosy Toys (a unit of Pumpkin Enterprise) is a plush toys manufacturing firm, with our manufacturing team having over 30 years of experience. We are a young firm committed to providing the best quality product to our clients. We have our own new creative design ideas and have the ability and expertise to perform according to the clients' requirements. We manufacture a wide variety of products in different styles, sizes, and colors. We are also aiming to make our products safe from toxic chemicals.

Location: Noida

Experience: 4 to 8 Years

No. Of Openings: 1

• Designing and implementing AI-enabled solutions.
• Working closely with the client to understand business needs and translate them into a technical solution.
• Defining the success metrics.
• Deploying and monitoring the solution.

• 4-8 years experience in Data Science, focused on generative AI, agentic AI, LLMs, and NLP
• Hands-on with RAG pipelines, knowledge graphs, and prompt engineering
• Skilled in Azure AI tools: Azure OpenAI, Cognitive Services, and Azure ML
• Experience with LangChain, Agentic AI frameworks, and orchestration tools
• Proficient in Hugging Face for model building and fine-tuning
• Strong Python development skills for AI applications
• Worked with vector databases, embeddings, and semantic search implementations
• Great problem-solver who enjoys debugging and improving AI systems