Senior Machine Learning Engineer

Flexiple; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A tech-focused company is seeking a professional to develop AI models for industrial asset health utilizing TensorFlow and PyTorch. This role involves implementing predictive maintenance solutions and enhancing visual inspection processes within various sectors, including oil and gas and manufacturing. Candidates should have strong adaptability and thrive in collaborative environments. The opportunity offers a chance to make immediate impacts in the area of asset reliability and performance.

Qualifications

• Experience developing AI models for industrial applications.
• Proven ability to implement predictive maintenance solutions.
• Strong skills in visual inspection processes for manufacturing.

Responsibilities

• Develop AI models for industrial asset health using TensorFlow and PyTorch.
• Implement predictive maintenance solutions for the Oil & Gas industry.
• Optimize model performance for industrial applications.

Skills

TensorFlow

PyTorch

Predictive Maintenance

Collaborative Problem Solving

Adaptability

Job description

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.ai’s 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

• Develop AI models for industrial asset health using TensorFlow and PyTorch
• Implement predictive maintenance solutions for the Oil & Gas industry
• Enhance visual inspection processes for manufacturing sector using PyTorch
• Collaborate on AI agents to manage asset health in renewable energy
• Optimize model performance for industrial applications with TensorFlow expertise
• Maintain machine learning pipeline for predictive analytics in infrastructure
• Evaluate AI solutions for integration into chemical industry systems
• Analyze datasets to refine machine learning algorithms for power sector
• Thrives in a collaborative environment, leveraging TensorFlow to innovate solutions
• Displays adaptability, using PyTorch to tackle diverse challenges head-on
• Embraces change with immediate availability, ready to make an impact