Data Scientist / AI-ML Engineer / GenAI Engineer

We are looking for a Data Scientist / AI-ML Engineer / GenAI Engineer with 34 years of experience to build and maintain production-ready AI/ML applications.

The role involves designing scalable AI systems, developing RAG and LLM-based workflows, and integrating AI solutions into products while following strong software engineering and deployment practices.

Key Responsibilities:
Design, develop and maintain production-ready AI/ML applications using Python.
Design scalable AI/ML systems and translate business requirements into technical solutions.
Develop and implement RAG-based applications and LLM workflows.
Build NLP and machine learning solutions for real-world business use cases.
Develop and integrate APIs for AI/ML applications and enterprise products.
Integrate AI/ML capabilities into existing products and applications.
Work with machine learning frameworks such as TensorFlow and Scikit-learn.
Develop, evaluate and optimize AI/ML models for performance and accuracy.
Work with vector databases and embedding-based search solutions.
Build scalable data and AI pipelines supporting production applications.
Collaborate with software engineering and product teams to deploy AI solutions.
Follow software engineering best practices for testing, scalability,



maintainability and reliability.
Work with cloud platforms and containerization technologies where required.

Must-Have Skills:
3–4 years of relevant experience in Data Science, AI/ML or Generative AI.
Strong Python programming skills.
Hands-on experience in AI/ML application development.
Experience with AI system design and development.
Solid understanding of RAG and LLM-based applications.
Experience with TensorFlow and/or Scikit-learn.
Strong NLP fundamentals and practical NLP experience.
Experience in API development and API integration.
Ability to develop production-ready AI/ML applications.

Good to Have:
Experience with Pinecone, Weaviate, FAISS or ChromaDB.
Experience with AWS, Azure or GCP.
Docker/containerization experience.
Experience deploying AI/ML applications in cloud settings.
Experience with Generative AI and LLM application development.

Location: Gurugram Work Mode: Work From Office

Experience: 3–4 Years

CTC: 15–25 LPA

Notice Period: 15–30 Days

Employment Type: Full-Time

Qualification: Bachelor's Degree

Working Hours: 09:00 AM – 06:00 PM

Openings: 1

Perks: Group Medical Insurance

Coding Assessment: Not Applicable

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