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Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

Experience Required:  5-6 Years

Job Type: Full-Time, Remote

Location: Noida (Uttar Pradesh) / Remote

We’re seeking an experienced AI Engineer to build advanced models and automation pipelines for a cutting-edge document verification and identity validation platform. You’ll design, train, and deploy AI systems that analyze documents, match identities, detect fraud, and enable secure, intelligent automation.

·   Build and deploy AI/ML models for document verification, ID recognition, and biometric validation.

·   Develop OCR, NLP, and LLM-based pipelines for automated document analysis and decision-making.

·   Integrate AI modules with Node.js, Angular, and MongoDB systems.

·   Optimize models for real-time accuracy, scalability, and compliance.

·   Collaborate with data and backend teams on automation and workflow intelligence.

·   5+ years of experience in AI/ML engineering or applied data science.

·   Proficiency in Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, and LLMs.

·   Experience with cloud AI services (AWS, GCP, or Azure) and MLOps tools.

·   Strong grasp of data privacy, security, and ethical AI principles.

·   Must be able to read, write, and communicate fluently in English.

·   Bonus: experience with vector databases, RAG, or biometric authentication systems.

What We Offer

• 100% remote flexibility
• Competitive salary based on experience
• Collaborative and innovative work environment
• Opportunities for growth and long-term projects

Send your resume to

Thank you

Inderpreet

Shift Timings - 1pm to 10pm or 3pm to 12am

What you will be doing:

· Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots).

· Work with open-source LLMs using platforms like Ollama and Hugging Face.

· Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution.

· Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases.

· Collaborate with cross-functional teams to ship features to production.

· Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI.

Required Skills

· 3–5 years of hands-on experience in AI/ML engineering.

· Proficient in Python, PyTorch, and Hugging Face Transformers.

· Proven experience with LangChain and LangGraph for LLM workflows.

· Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs.

· Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS).

· Skilled in backend integration using FastAPI, Docker, and cloud platforms.

· Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing.

Nice-to-Have

· Experience with LangServe, OpenAI tool/function calling, or agent orchestration.

· Background in multi-modal AI (e.g., image + text analysis).

· Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow).

· Contributions to open-source GenAI projects.

· Understanding of LLM safety, security, and alignment principles.

Greetings from TCS!

TCS Mumbai hiring for Artificial intelligence Architect(Technical Lead) !

Role: Artificial intelligence Architect

Experience required: 7 to 9 years

Location:- Mumbai

Required Technical skill Set:-

• We are seeking a visionary and hands-on AI/ML GenAI & NewTech Architect to lead the design and implementation of cutting-edge AI capabilities within our SaaS-based ITOM product suite. This role is pivotal in driving innovation across observability, automation, and predictive operations using Generative AI, Machine Learning, and emerging technologies.

MUST HAVE:-

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Proven experience in building and deploying AI/ML models in production, preferably in ITOM or ITSM domains.
• Strong knowledge of LLMs, NLP, GenAI frameworks (e.g., LangChain, Hugging Face, OpenAI, Azure OpenAI)
• Working knowledge of RAG, MCP
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Familiarity with SaaS architecture, microservices, APIs, and containerization (Docker, Kubernetes).
• Working knowledge of MCP (Model Context Protocol) for managing contextual integrity and dynamic prompt orchestration in GenAI systems.
• Understanding of Agentic AI architectures for autonomous task execution, planning, and orchestration using AI agents.
• Excellent communication and leadership skills