Machine Learning Engineer

Clarios; San Pedro Garza García; Presencial; MXN 1,428,000 - 2,143,000; Jornada completa

Descripción de la vacante

A global leader in advanced battery technologies is seeking a seasoned Machine Learning Engineer in San Pedro Garza García. As a Technical Lead, you will architect and implement ML solutions for their IoT platform and guide a team to deliver impactful systems. The ideal candidate has over 8 years of experience in machine learning and software engineering, a strong grasp of core ML methods, and exceptional communication skills. This position promises an exciting opportunity to work at the forefront of technology with a focus on sustainability.

Formación

• 8+ years of experience in machine learning and software engineering.
• Demonstrated success leading technical teams or driving complex projects in a production environment.
• Strong understanding of core ML and AI methods: supervised/unsupervised learning, classification, regression, clustering, deep learning, etc.

Responsabilidades

• Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting.
• Work with large-scale sensor data from connected devices.
• Lead the end-to-end technical execution of ML projects.

Conocimientos

Python

ML frameworks (PyTorch, TensorFlow, Scikit‑learn)

SQL

Time-series data

Communication skills

Educación

Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or related field

Herramientas

MLOps tools (MLflow, Airflow, Docker, Kubernetes)

Descripción del empleo

About the Role

We are seeking a seasoned Machine Learning Engineer with strong technical leadership skills to join our Connected Services AIML team. As a Technical Lead, you will architect and implement advanced algorithmic solutions that power our industrial IoT platform and guide a team of engineers and scientists to deliver high‑impact, production‑grade ML systems.

What You Will Do

• 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 integrated with both edge and cloud infrastructure.
• Lead the end‑to‑end technical execution of ML projects—from ideation and prototyping to deployment and monitoring.
• Mentor and support a team of ML and software engineers, establishing and enforcing best practices in model development, testing, and deployment.
• Collaborate with product managers and domain experts to ensure technical solutions align with strategic business goals.

What We’re Looking For

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field.
• 8+ years of experience in machine learning and software engineering.
• Demonstrated success leading technical teams or driving complex projects in a production environment.
• Strong understanding of core ML and AI methods: supervised/unsupervised learning, classification, regression, clustering, deep learning, etc.
• High proficiency in Python, ML frameworks (PyTorch, TensorFlow, Scikit‑learn), SQL, and cloud platforms.
• Experience working with time‑series data.
• Excellent communication skills and ability to work effectively in cross‑functional teams.

Preferred Qualifications

• Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field.
• Experience in industrial or automotive industry.
• Knowledge of MLOps tools such as MLflow, Airflow, Docker, Kubernetes.
• Experience with signal processing, edge computing, or physics‑informed ML models.

About Clarios

Clarios is the global 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. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best‑in‑class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information (PDF).

To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

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. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non‑discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email [e-mail].

A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.