Overview
Senior Data Scientist role focused on applying AI/ML to industrial data for predictive maintenance, process optimization, and performance intelligence. Works on production-grade models and agentic workflows while collaborating with domain experts.
What you'll do
- Design, develop, and deploy advanced AI/ML models for predictive maintenance, process optimization, and industrial performance intelligence.
- Build agentic workflows that can reason, adapt, and take actions in dynamic environments.
- Handle complex, high-dimensional time-series sensor data from IoT, SCADA, and DCS systems.
- Integrate first-principles models with data-driven ML to ensure physical consistency.
- Lead feature engineering strategy for high-frequency telemetry, including transient state detection and steady-state identification.
- Deploy low-latency inference pipelines that fit edge-computing constraints.
- Drive model interpretability, scalability, and accuracy for robust real-world production performance.
What you'll need
- 5+ years of hands-on experience developing and deploying ML models in manufacturing, energy, oil & gas, or power sectors.
- Strong background with time-series and sensor data from industrial or IoT systems.
- Hands-on Python experience plus TensorFlow/PyTorch and Scikit-learn.
- SQL experience.
- Experience with cloud ML platforms: AWS, Azure, or GCP.
- Bachelor’s degree or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics with heavy emphasis on computational modeling.
- Ability to lead and mentor teams while also contributing hands-on.
Details
- Location: Bangalore (Karnataka), Hybrid.
Read the full description and apply on the company’s own careers page.
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