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Tier-1 brand, mid-level ML role, metro location, and broad GenAI skillset increase candidate competition.
Core ML/LLM skills are transferable but industrial/agentic deployment experience creates moderate domain specificity.
Explicit years, mandatory ML/LLM, data engineering, and CI/CD requirements make shortlisting highly strict.
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Lead design, development, and deployment of enterprise-grade Generative AI solutions, focusing on real-world industrial challenges.
Manage end-to-end AI project lifecycle including problem formulation, data handling, modeling, validation, deployment, and maintenance in cloud environments.
Collaborate with IT, PRE, and business teams to integrate AI/ML solutions seamlessly within existing software architectures and communicate complex results to diverse stakeholders.
Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, Engineering or related field.
Minimum 5 years of professional experience in software engineering, machine learning, or data-focused roles.
At least 3 years of hands-on experience in developing and deploying machine learning solutions using Python, PySpark, or Scala.
Minimum 1 year of hands-on experience with Large Language Models (LLMs), agentic frameworks like LangChain, or Generative AI technologies; Proficiency with SQL and handling high-volume, diverse data sources.
Experienced technical lead capable of managing full AI project lifecycles in complex industrial environments with large-scale data.
Strong programming skills with expertise in AI/ML system design, interface development, and data visualization for insight extraction.
Proven ability to communicate complex AI solutions clearly to technical teams and leadership, and to operate effectively in ambiguous, fast-paced settings.