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Tier-1 brand, Bangalore metro location, and common Data Scientist title increase competition density.
Specialized ML/LLM requirements with preferred telecom AIOps exposure moderately limit cross-industry transferability.
Explicit 8–14 years requirement plus mandatory advanced ML/LLM and production deployment skills increase screening strictness.
Lead design and deployment of machine learning and advanced Agentic AI systems to enhance network operations and business problem-solving.
Build and scale LLM-based applications with prompt engineering, RAG pipelines, and evaluation frameworks for production use.
Collaborate cross-functionally to identify AI opportunities, perform feature engineering, evaluate models, and contribute to reusable AI frameworks.
8–14 years of applied Data Science and Machine Learning experience with progressive ownership of complex AI/ML projects.
Strong experience in classical ML techniques and hands-on knowledge of LLM-based systems including RAG architectures and agent orchestration.
Proficiency in Python and SQL, solid software engineering skills including CI/CD practices, and experience in AI model production deployment.
Work Experience Required: 8–14 years in Data Science and ML; Location: Bangalore, India.
Has deep expertise in both classical ML and cutting-edge LLM techniques including fine-tuning methods and Agentic AI workflows.
Experienced in end-to-end AI/ML system design and production, with a strong software engineering discipline.
Domain familiarity with telecom, network operations, or AIOps environments is highly desirable.