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.
The position requires a strong background in machine learning and software engineering, with at least 5 years of experience and proven leadership capabilities. You'll work with large-scale sensor data, develop robust data pipelines, and lead end-to-end technical execution of ML projects. The ideal candidate should have expertise in Python, ML frameworks, and cloud platforms, with a solid understanding of core machine learning algorithms.
Clarios offers a comprehensive benefits package including medical, dental, and vision coverage, 401(k) with company matching, tuition reimbursement, and parental leave. The company's commitment to sustainability is evident in their 99% battery material recycling rate, and they've been recognized as one of 2024's Most Ethical Companies by Ethisphere.
As part of a company that powers vehicles for leading automakers like Ford, GM, Toyota, and Honda, you'll have the opportunity to make a significant impact on sustainable transportation. The role offers a perfect blend of technical challenges, leadership opportunities, and the chance to work with cutting-edge technology in a company that values innovation and sustainability.