Data Scientist

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.
• Strong 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 environments.
• 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

Benefits: Group Medical Insurance

Coding Assessment: Not Applicable