Clarios, a global leader in automotive battery manufacturing, is seeking a Machine Learning Engineer Technical Lead to join their Connected Services AIML team. This remote position offers an exciting opportunity to architect and implement algorithmic solutions for their industrial IoT platform while leading a team of engineers and scientists.
The role combines technical expertise in machine learning with leadership responsibilities, focusing on developing solutions for predictive maintenance, anomaly detection, and time-series forecasting. You'll work with large-scale sensor data and be responsible for building robust data pipelines and real-time inference systems.
As a Technical Lead, you'll guide a team in delivering high-impact, production-grade systems while maintaining best practices in model development and deployment. The position requires strong technical skills in Python, ML frameworks, and cloud platforms, combined with excellent leadership and communication abilities.
Clarios offers an impressive benefits package including comprehensive healthcare, 401(k) matching, tuition reimbursement, and various work-life balance programs. The company's commitment to sustainability is evident in their 99% battery materials recycling rate and recognition as one of 2024's Most Ethical Companies.
This role presents an unique opportunity to work at the intersection of AI/ML and sustainable transportation, making a real impact while leading technical innovation. The position combines the stability of an industry leader with the excitement of cutting-edge technology development in the automotive sector.