Senior Machine Learning Engineer

This role with one of the very well known brand in the field of control systems and security solutions. Minimum 8+ years experience and has strong knowledge working on IoT systems and simulation.

It is a pure individual contributor role and will take full accountability for shaping and delivering use cases from concept through deployment, influencing architectural and solution-level decisions along the way.

Working closely with engineering, product, and customer stakeholders, you will bridge advanced analytics with real-world systems engineering.

Solution Architecture & Use Case Ownership: Drive the conceptualization, design, and delivery of impactful solutions by translating customer pain points and sensor-driven insights into scalable, outcome-focused applications.

Advanced Analytics & Optimization: Develop intelligent analytical frameworks and computational methods that convert complex operational data into measurable improvements in safety, performance, and asset efficiency.

Digital Twin & Scenario Engineering: Create dynamic models and simulation environments to stress-test concepts, evaluate system behavior, and anticipate performance across varying operational conditions.

Integrated Stakeholder Engagement: Partner across engineering, product strategy, and customer teams to ensure technical solutions are practical, value-driven, and aligned with market needs.

IoT Intelligence & Insights: Harness and interpret IoT-generated data streams to uncover operational inefficiencies, emerging risks, and optimization opportunities.

Engineering-Centric Problem Solving: Leverage core principles of engineering and applied physics to resolve sophisticated instrumentation and system-level challenges with robust, scalable designs.

Domain Thought Leadership: Act as a technical authority on proprietary technologies, influencing innovation roadmaps and guiding multidisciplinary teams toward technical excellence.