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 build robust data pipelines integrated with edge and cloud infrastructure.
As a Technical Lead, you'll guide the team in best practices for model development, testing, and deployment while ensuring alignment with business objectives. The position requires strong technical skills in Python, ML frameworks, and cloud platforms, combined with excellent leadership and communication abilities.
Clarios offers a comprehensive benefits package including medical, dental, vision coverage, 401(k) with company matching, and various other perks. The company's commitment to sustainability, demonstrated by their 99% battery material recycling rate, makes this an excellent opportunity for those interested in making a significant impact in sustainable transportation.
The ideal candidate will have 5+ years of experience in machine learning and software engineering, with a strong background in leading technical teams. Knowledge of MLOps tools and experience in industrial sectors would be advantageous. Join a company recognized as one of 2024's Most Ethical Companies by Ethisphere and help shape the future of sustainable transportation technology.