MLOps Engineer
3 weeks ago
We are seeking a highly skilled MLOps Engineer to join our team at GlobalLogic. As an MLOps Engineer, you will be responsible for developing software and pipelines to shorten the algorithm development life cycle from data curation to integration and deployment to support AI technologies that will help improve our users' experience.
Key Responsibilities:
- Develop 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.
Requirements:
- Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management.
- Strong experience deploying and productionising 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 Skills:
- 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).
About GlobalLogic
GlobalLogic is a leader in digital engineering, helping brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. We have a phenomenal track record of successfully delivering ground-breaking Cloud & Digital Transformation programmes and an international reach working with a wide variety of projects and customers.
We are an equal opportunities employer, committed to promoting an environment free from discrimination, harassment, and victimisation. We are proud signatories to the Tech Talent Charter, created to solve the diversity problem in tech through collective effort across companies and sectors.
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