Machine Learning Engineer

Company Details

Spector.ai is an AI-driven industrial asset health and reliability platform that helps organizations transform how they manage and maintain critical equipment. It uses generative AI, multi-modal AI agents, and machine learning to integrate live and historical data from diverse sources into a unified Asset Health Knowledge Graph, enabling predictive maintenance, automated visual inspection, and real-time actionable insights across the asset lifecycle. The platform supports proactive identification of failures and anomalies, prescriptive recommendations for maintenance actions, automated work order generation, and integration with existing enterprise systems (like CMMS/EAM), helping industries such as oil & gas, manufacturing, power and energy, and infrastructure improve uptime, reduce unplanned downtime and maintenance costs, and extend asset life. Spector.ais solutions are built to scale with industrial operations and provide a digital assistant experience that augments reliability engineers and maintenance teams, accelerating operational decision-making and boosting overall asset performance.

Job Roles & Responsibilities

- Design machine learning models using TensorFlow and PyTorch for industrial asset health management.

- Implement predictive maintenance solutions for Oil & Gas and Manufacturing industries.

- Optimize existing Scikit-Learn algorithms to improve asset health predictions.

- Develop AI solutions to enhance visual inspection processes in various industries.

- Collaborate with a small, dynamic team to deliver immediate, impactful solutions.

- Test and validate machine learning models for accuracy and industry standards.

- Integrate generative AI into predictive maintenance systems for enhanced performance.

- Monitor deployed AI agents and adjust models for continuous improvement.

Ideal candidate profile

- Innovates in fast-paced product environments using TensorFlow expertise

- Collaborates effectively across teams with immediate availability

- Adapts AI solutions creatively with Scikit-Learn skills

- Solves complex problems rapidly with PyTorch proficiency