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Mid-level Hyderabad ML role at a well-known firm with common ML skills increases applicant competition.
Specialized GenAI, RAG, and LLM frameworks moderately reduce cross-industry portability.
Explicit 6+ years and mandatory GenAI/ML stack requirements make shortlisting highly strict.
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Build and manage scalable, efficient, and reliable data pipelines and infrastructure supporting AI and data science initiatives.
Develop, train, validate, and deploy machine learning models including regression, classification, time series forecasting, and recommendation systems.
Integrate Generative AI and AI agent systems into production workflows, addressing model evaluation, hallucination mitigation, and guardrails.
6+ years of AI/data science experience or advanced degree in a related field.
Strong Python programming skills with proficiency in Pandas, NumPy, scikit-learn, and ML techniques including gradient-boosted decision trees and neural networks.
Experience with large datasets and distributed computing tools like Spark or Hadoop, and data visualization tools such as Tableau or Power BI.
Familiarity with Generative AI frameworks (e.g., Langchain), RAG systems, AI agents, and production deployment of ML/AI models.
Experienced senior data scientist with a systems-thinking approach linking AI models, data pipelines, and operational workflows end-to-end.
Demonstrated expertise in designing and deploying Gen AI-based autonomous decision agents and multi-step reasoning workflows.
Comfortable communicating complex AI model insights and technical concepts to senior leadership and cross-functional teams.