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MLOps Engineer

2 months ago


London, Greater London, United Kingdom GlobalLogic Full time
About the Role

We are seeking a highly skilled MLOps Engineer to join our team at GlobalLogic, a leading digital engineering company. As an MLOps Engineer, you will play a critical role in developing software and pipelines to support AI technologies that enhance our users' experience.

Key Responsibilities:

  • Develop and implement continuous integration and deployment (CI/CD) pipelines on top of ML model infrastructure for multiple ML development teams.
  • Design and develop data engineering tools to store, manage, query, and visualize big datasets.
  • Create data and metric visualization tools, web UI dashboards for model performance and data drift monitoring.

About You

We are looking for a talented individual with a strong background in AI/ML lifecycle management, data engineering, and cloud platforms. You will have:

  • Proven experience as an MLOps Engineer or in a similar role.
  • Strong experience deploying and productionizing ML models.
  • Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems.

Technical Requirements

The ideal candidate will have:

  • Skills with MLOps concepts and principles.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).
  • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI).

Why Work at GlobalLogic

We offer a comprehensive benefits package, including a competitive pension scheme, recognition schemes through bonus/reward initiatives, and a generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer, and individual needs.

We are an equal opportunities employer and proud signatories to the Tech Talent Charter, which aims to promote diversity and inclusion in the tech industry.