Machine Learning Engineer Are you interested in an exciting opportunity to drive success with data?

The Data

Science & Analytics group at the Goodyear does just that. Since its inception, the group’s project portfolio continues to grow and includes areas of tire intelligence, tire manufacturing, operations, and tire technology. Our diverse group works together with other digital teams to develop innovative solutions for simulating, modeling and analyzing complex processes.

If you like deriving insights from data to drive new business opportunities, then you will enjoy the challenge of working with our Tire Intelligence team. The opportunity As an ML Engineer, you will be responsible for the deployment of our core data science and AI models into our Global Mobility Solution platform.

On this position you will: Contribute to the building of our ML Operations platform Support model deployment into Production platforms, ensuring effective model management (artifact versioning, serving, inference pipelines, production integration) Support monitoring, logging, and observability to ensure system reliability and performance. Build and manage containerized deployment environments. Evaluate and integrate cloud-native services, distributed computing frameworks, and infrastructure automation tools.

Collaborate with data scientists, cloud engineers and data engineers to support, troubleshoot, and optimize AI models productionalization. Transform proof-of-concept models into production-ready solutions and deploy them at scale Build model performance benchmarking, evaluation and monitoring capabilities. To join our team, you will need: Education:



Bachelor degree in Computer Science, Master preferred Languages: You are fluent in English.

Experience: 3+ years of experience in deploying, monitoring and maintaining machine learning models in cloud environments Skills &

Qualifications: Demonstrated experience with: Cloud platform technology (AWS, Terraform, Kubernetes, ...) Machine Learning lifecycle (MLOps) Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles) Linux-based systems, containerization, and workflow orchestration (Linux, Bash, Docker, Airflow, ...) Data storage, ingestion, and processing technologies (SQL, NoSQL, data lakes, object storage, batch and streaming pipelines) Deployment of production-level software Strong understanding of software development lifecycle and best practices. Good problem-solving skills and attention to detail. Must be able to function independently as well as work in a collaborative team setting. Willingness to learn new technologies. Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 48 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.

📌 Machine Learning Engineer (Hyderabad)
🏢 The Goodyear Tire u0026 Rubber
📍 Hyderabad