Role Overview

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.

Requirements

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.

Tech Stack

AWS
Azure
Cloud
Google Cloud Platform
IoT
Python
PyTorch
Scikit-Learn
SQL
Tensorflow

Benefits

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.

UptimeAI Inc.

Open Positions (1)

Data

Senior Data Scientist