MLOps Data Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: MLOps Data Engineer

About GlobalFoundries

GlobalFoundriesis a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds 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.

Introduction:

We are seeking a skilled and motivated MLOps Engineer to join our Data Operations team. The ideal candidate will have 35 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:

Bachelors or Masters degree in Computer Science Data Engineering or related field.
35 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

Information about our benefits you can find here:

Job Title: MLOps Data EngineerAbout GlobalFoundriesGlobalFoundriesis a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds most inspired technology companies. With a global manufacturing footprint spanning thr...