Badkhal Lake Delhi Delhi Senior data scientist Jobs – 68 Open Jobs Today

Agentic AI Engineer
Shree Hr services —Gurugram, Haryana
- ₹20,00,000 - ₹35,00,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
1d
ML Engineer I
UST —Noida, Uttar Pradesh
- Machine learning
- AI
- Python
Quick apply
Senior AI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Engineering
Senior AI Engineer / Senior Machine Learning Specialist
IMPRONICS DIGITECH PRIVATE LIMITED —Gurugram, Haryana
- Azure
- Computer Science
- Java
Quick apply
Senior AI/ML-Generative AI
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
13d
Assistant Manager
EXL Service —Gurugram, Haryana
- Full-time
- Computer Science
- Master's degree
- SQL
Senior AI/ML Developer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
3d
Senior AI Engineer – (Land Services)
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- Master's degree
10d
Senior Engineer–AI Sustainable building design
WSP —Noida, Uttar Pradesh
- Hybrid work
- Engineering
- Analysis skills
- Machine learning
S&C Global Network - AI - Healthcare CCAI -Consultant
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
Senior AI Software Engineer
dunnhumby —Gurugram, Haryana
- DevOps
- Java
- Master's degree
- Flexible schedule
Quick apply
14d
Senior Manager, AI Engineering
Anaplan —Gurugram, Haryana
- Email
- Azure
- Doctoral degree
- Computer Science
Quick apply
Sr Software Engineer (4-6 yrs in Python & LangGraph/ LangChain required)
Gartner —Gurugram, Haryana
- Email
- Hybrid work
- Sales
- Customer service
- Salesforce
Sr. Delivery Consultant-AI/ML, ProServe
AWS ProServe IN - Karnataka —Gurugram, Haryana
- Full-time
- Computer Science
- SQL
- AWS
Senior Manager – Data Scientist
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- English
Quick apply

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Agentic AI Engineer

Shree Hr services
Gurugram, Haryana

Quick apply

Job details

Full-time | Contractual / Temporary
₹20,00,000 - ₹35,00,000 a year
1 day ago

Qualifications

CI/CD
Performance tuning
Azure
Law
Computer Science
Kubernetes
Git
Master's degree
SQL
OOP
AWS
Docker
Bachelor's degree
Continuous integration
REST
APIs
B.E.
Flask
AI
Python
Information Technology

Full job description

Hello Dear,

Great Opportunity for you.!!!

Role: Agentic AI Engineer

Experience: 4+ years

Employment Type: FTE (Fixed Time Employment)

Duration: - 12 Months

Notice Period: - 15-20 days

Location: - Delhi/NCR, Bangalore & Mumbai

ROLE SUMMARY

We’re looking for a hands-on Agentic AI Engineer to build, optimize, and deploy production-grade AI solutions. In this role, you will be the engine room of our AI initiatives — taking architectural blueprints and turning them into scalable, functional systems. You will work across the full build lifecycle — from prototyping to production — collaborating with Senior Architects and data scientists to deliver AI solutions in a consulting environment.

WHAT YOU'LL DO

Agentic Development

· Build: Develop LLM-based applications and multi-step agentic workflows using frameworks such as Microsoft Agent Framework, AutoGen, LangChain, LangGraph, LlamaIndex, or CrewAI

· RAG Pipelines: Implement Retrieval-Augmented Generation pipelines: chunking, embedding, vector search, and re-ranking

· Tool Use & Memory: Build agents with tool-calling, short/long-term memory, and human-in-the-loop checkpoints

· Prompt Engineering: Design and iterate on system prompts, chain-of-thought templates, and structured output schemas

· Model Fine-tuning: Execute fine-tuning and optimization tasks (Quantization, PEFT/LoRA) to adapt foundation models for specific domain tasks

Integration & Delivery

· APIs: Expose AI capabilities via FastAPI endpoints; integrate with client data sources and third-party APIs

· Vector Databases: Manage embeddings and retrieval using Pinecone, Qdrant, or pgvector

MLOps & Productionization

· Deployment: Containerize and deploy AI services using Docker and Kubernetes on AWS / Azure cloud environments, ensuring high availability and low latency

· Observability: Implement observability for AI systems using LangSmith or Arize Phoenix, tracking accuracy, hallucinations, cost, and latency

· CI/CD: Maintain CI/CD pipelines for ML, ensuring automated testing (unit, contract, and model-quality tests) is integrated into the delivery workflow

· Guardrails & Hallucination Control: Apply output validation, guardrails, and hallucination-detection techniques to ensure reliable, production-safe AI outputs

· Token Optimization: Apply prompt compression, context window management, and response caching to control inference cost and latency

Collaboration

· Client Delivery: Work closely with Senior Architects and Engagement Managers to translate business requirements into technical tasks and working solutions

· Code Quality: Write clean, modular Python; participate in peer code reviews and contribute to the team’s internal library of reusable AI patterns and playbooks

MUST-HAVE QUALIFICATIONS

· Experience: 3+ years in software engineering, data engineering, or ML; at least 1 year building LLM/Gen AI applications

· Python: Strong Python skills — OOP, async programming, packaging, and testing

· LLM Frameworks: Hands-on experience with at least one of: LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex

· Gen AI: Working knowledge of LLM APIs (OpenAI, Anthropic Claude, Gemini) and prompt design

· Cloud Basics: Familiarity with AWS or Azure; comfortable with REST APIs and Git-based workflows

· MLOps & Productionization: Hands-on experience deploying, monitoring, and maintaining AI systems in production — Docker/Kubernetes, CI/CD pipelines, and observability tooling are non-negotiable

· Engineering Fundamentals: Solid SQL skills, API design experience (FastAPI/Flask), and a “software engineering first” approach to ML — encompassing testing, modularity, and documentation

· Education: B.Tech / B.E. / M.Sc. in Computer Science, Information Technology, or a related field

GOOD TO HAVE

· Evaluation: Exposure to G-Eval, RAGAS, TruLens, or LangSmith for quantifying LLM output quality

· MLOps: Basic experience with MLflow or DVC for experiment tracking

· Structured Outputs: Experience with Pydantic-based output parsing and function/tool calling

· Performance Tuning: Knowledge of vLLM or Triton Inference Server for high-throughput model serving

Certifications: AWS / Azure AI Fundamentals or equivalent cloud certification

Payal Prajapati
Independent HR Consultant
Shree HR Services
Strategic Hiring Partner | IT & Non-IT Recruitment
Ahmedabad, Gujarat, India
+91 9427907672
[email protected]

Pay: ₹2,000,000.00 - ₹3,500,000.00 per year

Work Location: Hybrid remote in Gurgaon, Haryana

Quick apply

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senior data scientist jobs in badkhal lake delhi delhi

Agentic AI Engineer

ML Engineer I

Senior AI Engineer

Senior AI Engineer / Senior Machine Learning Specialist

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Assistant Manager

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S&C Global Network - AI - Healthcare CCAI -Consultant

Senior AI Software Engineer

Senior Manager, AI Engineering

Sr Software Engineer (4-6 yrs in Python & LangGraph/ LangChain required)

Sr. Delivery Consultant-AI/ML, ProServe

Senior Manager – Data Scientist

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