Senior Data Scientist
UptimeAI (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy advanced AI/ML models for predictive maintenance and industrial process optimization using hybrid modeling integrating first-principles and data-driven methods.
- Handle complex time-series and high-frequency sensor data from industrial IoT/SCADA/DCS systems to build scalable, production-grade AI inference pipelines under edge computing constraints.
- Collaborate with domain experts to design reasoning agent workflows for dynamic environments and deliver measurable business outcomes in real-world industrial settings.
Minimum Requirements
- Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, Applied Physics with computational modeling focus, or Computer Science with significant heavy industry experience.
- 5+ years of experience developing and deploying ML models in Manufacturing, Energy, Oil & Gas, or Power sectors.
- Proficiency with Python, TensorFlow/PyTorch, Scikit-learn, SQL, and cloud ML platforms such as AWS, Azure, or GCP.
- Location: Bangalore, Karnataka (Hybrid work model).
Ideal Candidate Profile
- Expertise at the interface of data science and physical sciences with ability to embed domain engineering knowledge into AI solutions.
- Experience leading technical teams and mentoring data scientists while being a hands-on contributor in production deployment.
- Strong experience working with industrial operational data and designing agentic AI workflows that reason and adapt in noisy, dynamic industrial environments.