Data Scientist AI & Generative AI

Job Overview

We are looking for a Data Scientist to build and deploy AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making.

The role involves working with Python, SQL, LLMs, RAG, and Agentic AI to develop production-ready AI applications and workflows.

Key Responsibilities
Develop and deploy AI and Generative AI solutions.
Build AI applications, workflows, and data pipelines using Python and SQL.
Work with structured and unstructured data for AI/ML use cases.
Apply prompt engineering and evaluate LLM outputs for quality and accuracy.
Develop RAG pipelines and integrate Agentic AI frameworks.
Implement AI monitoring, observability, and MLOps practices.
Work with business and technical teams to understand requirements and deliver practical solutions.
Present findings, recommendations, and results clearly to stakeholders.

Minimum Qualifications
Masters degree / postgraduate degree in STEM such as:
Data Science
Statistics
Computer Science
Engineering
Operations Research




Artificial Intelligence
Related STEM fields
2–7 years of experience in Data Science, AI Engineering, Machine Learning, or Analytics.
Robust Python and SQL skills.
Good understanding of LLMs, Prompt Engineering, Embeddings, RAG, and Agentic AI.
Experience with relational databases such as SQL Server, Snowflake, BigQuery, or Teradata.
Knowledge of Git, AI Observability, and MLOps.
Solid analytical and problem-solving skills.
Valuable communication and presentation skills.
Must be legally authorized to work in India without sponsorship.

Good to Have
Specialization/coursework in AI, ML, Statistics, or Cloud Computing.
Experience deploying GenAI/RAG/LLM applications in production or staging environments.
Cloud experience with AWS, Azure, or GCP.
Knowledge of RAGAS, TruLens, LangSmith, or MLflow.
Understanding of ML models such as Regression, Classification, and Ensemble Methods.
Relevant AI/ML/Cloud/MLOps certifications.

📌 Gen Ai Engineer Gurugram
🏢 VBeyond
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