Software Engineer

About the Role

We are hiring multiple Senior Machine Learning Engineers to join our fast-growing AI team. Benefit from a fast interview process with quick turnaround, working on high-impact solutions across industrial AI and predictive maintenance.

This role offers the opportunity to design and scale advanced machine learning systems that directly impact asset performance across industries such as energy, manufacturing, and infrastructure.

About the Company

Spector.ai is an AI-driven industrial asset health and reliability platform that transforms how organizations manage and maintain critical equipment. By leveraging generative AI, multi-modal AI agents, and machine learning, we integrate data into a unified Asset Health Knowledge Graph—enabling predictive maintenance, real-time insights, and improved operational efficiency across industries.

Key Responsibilities

• Develop AI models for industrial asset health using TensorFlow and PyTorch
• Implement predictive maintenance solutions for industrial use cases
• Enhance AI-powered visual inspection systems for manufacturing environments
• Optimize model performance for scalable industrial applications
• Analyze datasets to refine machine learning algorithms and improve predictions

Skills & Experience

• Experience with machine learning frameworks such as TensorFlow and PyTorch
• Strong understanding of model development and performance optimization
• Familiarity with working on real-world or industrial AI applications
• Experience handling and analyzing complex datasets
• Ability to work in collaborative, fast-paced environments

What We’re Looking For

• Strong problem-solving and analytical mindset
• Ability to adapt and handle diverse technical challenges
• Collaborative approach with effective communication skills
• Readiness to contribute in a fast-moving, impact-driven environment

Apply Even If…

You don’t meet every requirement listed above. We encourage you to apply if you’re passionate about machine learning and building impactful solutions.

Additional Highlights

• Work on real-world industrial AI problems with tangible impact
• Exposure to advanced machine learning and AI-driven systems
• Opportunity to grow within a fast-scaling, product-driven environment