MLOps Data Engineer

Job Title: MLOps Data Engineer

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction:

We are seeking a skilled and motivated MLOps Engineer to join our Data Operations team. The ideal candidate will have 3–5 years of experience in deploying, monitoring, and scaling machine learning models in production environments. You will collaborate closely with data scientists, software engineers, and DevOps teams to streamline the ML lifecycle and ensure robust, scalable, and secure model operations.

Key Responsibilities:

• Design and implement CI/CD pipelines for ML models.
• Automate model training, validation, deployment, and monitoring workflows.
• Manage model versioning, reproducibility, and rollback strategies.
• Optimize infrastructure for model inference and training (on-prem/cloud).
• Monitor model performance and data drift in production.
• Collaborate with cross-functional teams to integrate ML solutions into business applications.
• Ensure compliance with data governance, security, and privacy standards.
• Maintain documentation and best practices for MLOps processes.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 3–5 years of experience in MLOps, DevOps, or ML engineering roles.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with containerization (Docker, Kubernetes) and orchestration tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
• Strong understanding of CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow).
• Knowledge of monitoring tools (Prometheus, Grafana) and logging systems.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19 vaccination document, subject to any written request for medical or religious accommodation