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Mid-level Data Scientist in Bangalore with popular title and metro location, but Generative AI specialization reduces competition.
Strong ML skill transferability but manufacturing and process automation domain knowledge raises domain-specific fit requirements.
Explicit 6+ years requirement plus mandatory Generative AI, LLM, MLOps and cloud skills increases shortlisting strictness.
Design, develop, and deploy machine learning and AI solutions, including Generative AI and LLM-based applications, to create business value across enterprise processes.
Collaborate with business stakeholders and cross-functional teams to identify AI opportunities and deliver scalable, production-ready models.
Drive AI innovation and automation initiatives, contributing to enterprise AI strategy and standards.
6+ years of experience in data science with strong expertise in machine learning, AI, and Generative AI technologies.
Proficiency in Python, SQL, modern data science libraries, and experience with cloud platforms such as Microsoft Azure; AWS and Google Cloud are advantages.
Experience with MLOps, model deployment, monitoring, and lifecycle management of AI models.
Work Experience Required: 6+ years in data science and AI-related roles.
Experienced in handling complex business problems via data-driven AI and machine learning solutions within industrial, manufacturing, or operational domains.
Skilled in translating business needs into analytical frameworks and communicating technical AI concepts effectively to non-technical stakeholders.
Strong collaborative operator with stakeholder management experience and ability to lead technical mentoring and cross-team partnerships.