UptimeAI

Manufacturing

Lead/PrincipalDataScientist

₹35–55L ~AI est. Bangalore, Karnataka, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead / Principal Data Scientist at UptimeAI. Skills: AI, ML, Data Science, Industrial AI. Build production-grade AI systems. Deploy production-grade AI systems”

What You'll Achieve.

Improve operational efficiency; Improve reliability; Deliver actionable insights; Ensure maximum efficiency; Ensure reliability

Industry & Context.

Manufacturing
Problems you'll solve

First-principles problem solving; Problem-solving; Decision-making

What They're Looking For.

Must Have

5+ years of hands-on experience developing and deploying ML models, Hands-on experience with Python, Hands-on experience with TensorFlow/PyTorch, Hands-on experience with Scikit-learn, Hands-on experience with SQL, Hands-on experience with cloud ML platforms, Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics, Significant experience in heavy industry (for CS degrees), Background in handling time-series and sensor data

Nice to Have

PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification

What You'll Do.

Build production-grade AI systems

Deploy production-grade AI systems

Design agentic workflows

Reason in dynamic environments

Adapt in dynamic environments

Take actions in dynamic environments

Derive meaningful insights from industrial data

Collaborate with domain experts

Create context-aware AI solutions

Solve ambiguous problems

Develop advanced AI/ML models

Deploy advanced AI/ML models

Handle complex sensor data

Handle high-dimensional data

Handle time-series sensor data

Drive model interpretability

Drive model scalability

Ensure robust performance

Integrate First-Principles Models with ML

Ensure physical consistency

Engineer features on telemetry data

Detect transient states

Identify steady states

Deploy inference pipelines

Respect edge-computing constraints

Validate models with industry experts

Derive insights with customers

Deliver measurable business outcomes

Incorporate innovative techniques

Contribute to thought leadership

Present at industry conferences

Mentor data scientists

Provide technical leadership

How You'll Work.

Team & Collaboration

Product teams; Engineering teams; Customer Success teams; Domain experts; Industry experts; Customers

Communication Scope

Influence senior stakeholders

Full Job Description

About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Recently receiving a funding round led by WestBridge Capital, UptimeAI is prime for global expansion Role : Lead / Principal Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science ROLE OVERVIEW We are looking for individuals who sit at the intersection of Data Science and Physical Sciences. You understand that industrial data isn't just rows in a database—it represents thermodynamics, fluid dynamics, and mechanical stress. The candidate should be capable of translating business problems into scalable AI solutions, leveraging creative thinking and first-principles problem solving. This role requires someone who can: · Build and deploy production-grade AI systems, not just prototypes · Design agentic workflows that can reason, adapt, and take actions in dynamic environments · Work with noisy, incomplete, and real-time industrial data to derive meaningful insights · Collaborate closely with domain experts (e.g., operations, reliability, or plant engineers) to create context-aware AI solutions · Demonstrate innovative thinking in solving ambiguous problems where standard approaches may not apply KEY RESPONSIBILITIES · Be a part of the design, development, and deployment of advanced AI/ML models for predictive maintenance, process optimization, and industrial performance intelligence · Collaborate closely with Product, Engineering, and

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