Gen ai engineer

Qualifications

What’s 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.

•1–2 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.