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Tier-1 brand, Bengaluru metro location, mid-level data scientist title and broad skillset create high competition.
Core ML/LLM production, Python, and Kubernetes skills are broadly transferable across industries.
Explicit four-plus years requirement plus mandatory LLM, Kubernetes, CI/CD, and production experience raise strictness to high.
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Design, build, and operate production generative AI solutions using large language models and enterprise data to solve business problems with measurable outcomes.
Own end-to-end delivery from solution design through deployment, monitoring, and continuous improvement of AI services.
Collaborate with engineering and data teams to ensure quality, stability, control, and communicate technical progress to stakeholders tied to business impact.
Bachelor’s degree or equivalent in computer science, data science, engineering, statistics, or related quantitative field.
4+ years hands-on experience using Python to build data-driven or machine learning solutions in production environments.
Practical experience building generative AI applications with large language model APIs and building multi-step AI workflows with controls (hallucinations, prompt injection, data leakage).
Proficiency in relational databases and SQL; working knowledge of core ML concepts and experience with containerizing/deploying applications on Kubernetes.
Experienced in building and operationalizing large language model based AI services with end-to-end ownership in production.
Skilled in complex AI workflow orchestration with practical controls addressing technical risks like hallucinations and data leakage.
Comfortable working in interdisciplinary teams applying machine learning engineering best practices with strong communication to non-technical stakeholders.