Gen ai engineer

VBeyond Corporation; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Vbeyond Corporation seeks an experienced AI/ML professional in Gurugram to move models and analytical workflows toward production. Strong Python/SQL, Git, and cloud data platform experience are essential, along with deep knowledge of LLMs, embeddings, and RAG workflows.

Excellent communication skills and the ability to create clear presentations are required. This is a full-time role based in India, with work authorization for the country.

Qualifications

• Master of Science or equivalent postgraduate degree in a STEM field.
• Data Science, Statistics, Engineering, Computer Science, OR related STEM field.
• 4-8 years of industry experience in AI engineering, data science, analytics, or machine learning, including production-ready work.
• Strong Python and SQL proficiency; Git; experience with large relational datasets and platforms (SQL Server, Snowflake, BigQuery, Teradata).
• Practical knowledge of LLMs, prompt engineering, embeddings, RAG, and agentic AI; AI observability and MLOps; strong analytical problem-solving; ability to create clear Excel/PowerPoint presentations.
• Excellent spoken and written communication; eligible to work in India without sponsorship.

Skills

Python

SQL

Git

LLMs / prompts

MLOps / AI observability

Data wrangling / large datasets

Excel / PowerPoint

Communication

Education

Master of Science or equivalent in STEM

4-8 years AI/ML/data science industry exp

Advanced coursework in ML/AI/cloud

Tools

Microsoft SQL Server

Snowflake

BigQuery

Teradata

LangSmith / MLflow

RAG / TruLens

Job description

Qualifications

Whats needed to succeed (Minimum Qualifications):

• Candidates must hold a Master of Science or equivalent postgraduate degree in a STEM field.
• Data Science, Statistics, Engineering, Computer Science, Operations Research, or a related STEM field.
• 4-8 years of industry experience in AI engineering, data science, analytics, or machine learning, including practical experience moving models or analytical workflows toward production.
• Strong Python and SQL proficiency; software engineering fundamentals, including Git; experience with large relational datasets and platforms such as Microsoft SQL Server, Snowflake, BigQuery, or Teradata; practical knowledge of LLMs, prompt engineering, embeddings, RAG, and agentic AI; AI observability and MLOps; strong analytical problem-solving; ability to create clear Excel and PowerPoint presentations
• Exhibit strong spoken and written communication fluency
• Must be legally authorized to work in India for any employer without sponsorship

What will help you propel from the pack (Preferred Qualifications):

• Advanced coursework or specialization in machine learning, artificial intelligence, applied statistics, or cloud computing.
• Experience deploying Generative AI applications in a production or staging environment, particularly RAG or LLM-based workflows.
• Relevant cloud, machine learning, or MLOps certification
• Experience with RAGAS or TruLens; LangSmith or MLflow; regression, classification, ensemble methods, and common evaluation metrics; cloud platforms and cloud-based data environments such as AWS, Azure, or GCP.