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Mid-level generative AI role in metro Hyderabad with popular ML skillset increases applicant competition.
Machine learning skills are transferable across industries, but GenAI/agentic experience biases toward specialized AI roles.
Explicit 6–9 year requirement plus 2–4 years GenAI experience and specific tech mandates raises strictness.
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Lead AI/ML initiatives focusing on Generative AI and Agentic AI technologies with hands-on production deployments.
Design and operate robust data engineering pipelines for structured and unstructured data (text, embeddings).
Utilize Python, Azure ML, Databricks, and GenAI frameworks to deliver AI solutions in a cross-functional Agile environment.
6-9 years of professional experience in AI/ML engineering with 2-4 years specifically in Agentic AI & Generative AI.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Proficient in Python, Azure ML, Databricks, and Generative AI frameworks with hands-on production deployment experience.
Work Experience Required: 6-9 years in AI/ML; notice period not explicitly mentioned.
Experienced with end-to-end AI/ML product lifecycle in an Agile/Scrum setting involving cross-functional collaboration.
Skilled in developing and managing data pipelines for both structured and unstructured datasets including text embeddings.
Technically competent to lead and innovate in applying Generative and Agentic AI within enterprise-grade cloud platforms like Azure.