Back
Well-known employer and popular ML role attract applicants, but Generative AI specialization narrows pool.
High specialization in Generative AI, LLMs, and MLOps reduces cross-industry transferability.
Mandatory 1–2 years experience plus required LLM, MLOps, Python, SQL, and legal authorization.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, test, and deploy AI and Generative AI solutions improving customer experience, operational efficiency, and business decision-making.
Build production-grade workflows, applications, and data pipelines using Python, SQL, relational databases, and modern AI tools including LLMs and agentic AI frameworks.
Implement AI observability, prompt engineering, MLOps practices, and collaborate with cross-functional teams to monitor model behavior and communicate findings.
Bachelor's degree required.
1–2 years industry experience in AI engineering, data science, analytics, or machine learning with production model/workflow deployment experience.
Strong proficiency in Python and SQL; experience with large relational datasets and platforms (e.g., Microsoft SQL Server, Snowflake, BigQuery, Teradata).
Must be legally authorized to work in India without sponsorship.
Experienced with practical application of LLMs, prompt engineering, embeddings, Retrieval-Augmented Generation, and agentic AI frameworks in scalable environments.
Skilled in implementing AI observability and MLOps to ensure model/system reliability and business usefulness.
Able to translate ambiguous business needs into practical AI solutions and effectively communicate technical findings to stakeholders.