Machine Learning Engineer - Technical Lead
Job Description
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 shape the future of sustainable transportation through advanced AI applications.
The role combines technical expertise in machine learning with leadership responsibilities, focusing on developing sophisticated algorithmic solutions for their industrial IoT platform. The successful candidate will be responsible for designing and implementing predictive maintenance systems, anomaly detection algorithms, and time-series forecasting models while leading a team of engineers and scientists.
Key technical aspects include working with large-scale sensor data, developing robust data pipelines, and implementing real-time inference systems integrated with edge and cloud infrastructure. The position requires strong proficiency in Python, ML frameworks (PyTorch, TensorFlow, Scikit-learn), and cloud platforms, along with extensive experience in time-series data analysis.
The company offers an impressive benefits package including comprehensive healthcare coverage, 401(k) with company matching, tuition reimbursement, and parental leave programs. Clarios' commitment to sustainability is evident in their achievement of recycling up to 99% of battery materials and their recognition as one of 2024's Most Ethical Companies by Ethisphere.
This role presents an unique opportunity to work at the intersection of automotive technology and artificial intelligence, while contributing to sustainable transportation solutions. The position combines technical leadership with hands-on development, making it ideal for experienced ML engineers looking to make a significant impact in the automotive industry while leading and mentoring a technical team.
Responsibilities For Machine Learning Engineer - Technical Lead
- Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting
- Work with large-scale sensor data from connected devices
- Develop robust data pipelines and real-time inference systems
- Lead the end-to-end technical execution of ML projects
- Mentor and support a team of ML and software engineers
- Partner with product managers and domain experts to align technical solutions with business goals
Requirements For Machine Learning Engineer - Technical Lead
- Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or related field
- 5+ years of experience in machine learning and software engineering
- Proven experience leading technical teams or projects in production environment
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn), SQL and cloud platforms
- Experience with time-series data
- Excellent communication and cross-functional collaboration skills
- Solid understanding of core machine learning and AI algorithms
Benefits For Machine Learning Engineer - Technical Lead
- Medical, dental and vision care coverage
- 401(k) savings plan with company matching
- Tuition reimbursement
- Parental and caregiver leave programs
- Paid time off
- Flexible spending
- Short-and long-term disability
- Basic life insurance
- Business travel insurance
- Employee Assistance Program
- Full-service cafeteria and workout facility
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