Gen ai engineer
Posted Updated
- 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.
