Machine Learning Engineer - Technical Lead

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 is recognized for its commitment to sustainability, recycling up to 99% of battery materials, and was named one of 2024's Most Ethical Companies by Ethisphere. This role presents an opportunity to work with a company that powers major automotive brands while pushing the boundaries of sustainable transportation technology.

Working at Clarios means joining a team of 18,000 employees worldwide, contributing to innovative solutions in energy storage, and making a real impact on sustainable transportation. The company's strong market position, commitment to diversity and inclusion, and focus on sustainability make it an attractive destination for talented professionals looking to advance their careers in machine learning and technical leadership.