The Role We are looking for a seasoned Machine Learning Engineer with strong leadership capabilities to join the Connected Services AIML team as a Technical Lead. You will architect and implement the algorithmic solutions that power our industrial IoT platform, while guiding a team of engineers and scientists to deliver high-impact, production-grade systems — turning large-scale sensor data into intelligence that keeps connected assets running.

What You'll Do
(Impact Areas)
- Architect & deploy ML solutions: design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting using large-scale sensor data from connected devices.
- Build production infrastructure: develop robust data pipelines and real-time inference systems integrated with edge and cloud infrastructure.
- Lead technical execution: own the end-to-end delivery of ML projects, from ideation to deployment.
- Mentor & set the standard: guide a team of ML and software engineers; define and enforce best practices in model development, testing, and deployment.
- What Success Looks Like Production-grade models for predictive maintenance and anomaly detection deployed and reliably serving real-time inference at scale. Robust, well-documented pipelines moving sensor data from edge to cloud with minimal latency and downtime. A high-performing ML and software engineering team operating against clear, enforced best practices. Technical roadmaps that map directly to business outcomes and are delivered on time, from ideation to deployment. Core Competencies




- Technical leadership and end-to-end project ownership in a production environment.
- Production engineering mindset: data pipelines, real-time inference, and edge + cloud deployment.
- Mentorship and the ability to raise the bar across an engineering team.
- Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field.
- 5+ years of experience in machine learning and software engineering.
- Proven experience leading technical teams or projects in a production environment.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn), SQL, and cloud platforms.
- Experience with time-series data.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field.
- Experience in industrial sectors.
- Knowledge of MLOps tools (MLflow, Airflow, Docker, Kubernetes).
- About Clarios Clarios is the integral leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. Equal Employment Opportunity Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law.

📌 Machine Learning Engineer-Technical Lead (Nuevo León)
🏢 Clarios
📍 Nuevo León