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Mid-level Data Scientist in Bangalore with broad full-stack and ML requirements attracts strong applicant density.
Role requires industrial domain intuition and specialized agentic AI experience, limiting cross-industry transferability.
Explicit 3+ years, portfolio requirement, industrial AI preference, and mandatory full-stack ML skills tighten filters.
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Build and deploy production-grade AI systems integrating algorithmic research with product impact in industrial settings.
Design and implement agentic workflows enabling dynamic reasoning and actions, including front-end interfaces for root cause analysis and data interaction.
Process and analyze noisy, real-time industrial data; collaborate with domain experts to develop context-aware AI solutions focused on operational workflows.
Bachelor’s or higher in Chemical, Mechanical, Aerospace Engineering, Applied Physics with computational modeling focus or CS degree with significant heavy industry experience.
3+ years of experience blending Data Science with Software Engineering such as ML Engineer, Product Engineer, or Data Science Prototyper roles.
Proficiency in Python, Polars/Pandas, Scikit-learn; experience with PostgreSQL/TimescaleDB, FastAPI, and AI-integrated IDEs like Cursor or Antigravity.
Work Experience Required: 3+ years; Location: Bangalore, Karnataka (Hybrid)
Experienced in building end-to-end AI applications with demonstrable production use and user engagement.
Familiar with industrial domains such as Industrial AI, Manufacturing, or Energy, and able to interpret nuanced sensor data and operational workflows.
Skilled in fast, integrated prototyping using AI-native development tools and comfortable managing full-stack data flows from backend to polished frontend.