Ml engineer signal processing / Jobs

Senior Data Scientist
UptimeAI —India
- Full-time
- Hybrid work
- Azure
- SQL
- AWS

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Senior Data Scientist

UptimeAI
India

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Job details

Full-time

Qualifications

TensorFlow
Mechanical engineering
Azure
Chemical Engineering
Signal processing
Internet of things
PyTorch
SQL
AWS
Bachelor's degree
Distributed control systems
Data science
Manufacturing
AI
Communication skills
Python

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 Customer Success teams to translate business problems from industrial domains into data science solutions.
Guide the team in handling complex, high-dimensional, and time-series sensor data from IoT, SCADA, and DCS systems.
Drive model interpretability, scalability, and accuracy, ensuring robust performance in real-world production environments.
Hybrid Modeling: Integrate First-Principles Models (mass/energy balances, kinetics) with data-driven ML to ensure physical consistency in model outputs.
Signal Processing: Lead the strategy for feature engineering on high-frequency telemetry data from SCADA/DCS, focusing on transient state detection and steady-state identification.
Operationalization: Move beyond "notebook AI" to deploy robust, low-latency inference pipelines that respect the edge-computing constraints of industrial environments.
Partner with industry experts and customers to validate models, derive insights, and deliver measurable business outcomes.
Stay ahead of emerging trends in AI/ML, deep learning, and industrial AI to incorporate innovative techniques into UptimeAi’s product roadmap.
Contribute to thought leadership by publishing whitepapers, patents, or presenting at industry conferences
Mentor and provide technical leadership to data scientists, ensuring continuous upskilling and adoption of best practices

Qualifications

Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics with a heavy emphasis on computational modeling. (Candidates with CS degrees are welcome if they have significant experience in heavy industry).
5+ years of hands-on experience developing and deploying ML models specifically within Manufacturing, Energy, Oil & Gas, or Power sectors.
Strong background in handling time-series and sensor data from industrial or IoT systems.
Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, SQL, and cloud ML platforms (AWS, Azure, GCP).
Excellent problem-solving and communication skills with the ability to influence senior stakeholders.
Demonstrated ability to lead and mentor teams while being a hands-on contributor
Ability to work independently, with strong problem-solving and decision-making abilities

Why to join UptimeAI:

Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients.
Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth.
Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.

Apply Now

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