Xebia
Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.
IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation
Senior MLOps Engineer
April 5
Xebia
Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.
IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation
📋 Description
• MLOps Engineer is responsible for streamlining machine learning project lifecycles by designing and automating workflows • Implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking • Collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training
🎯 Requirements
• 5+ years of experience in Python • Strong SQL skills • Hands-on experience with cloud environments (AWS / Azure / GCP) • Experience with tools such as Spark, PyTorch, TensorFlow and MLFlow • Knowledge of DevOps practices and tools, including Terraform • Experience with Docker and Kubernetes • Understanding of continuous integration and continuous deployment (CI/CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI • Cloud (Azure, AWS, GCP) certification is a big plus • Familiarity with Amazon SageMaker / Azure Machine Learning / VertexAI is nice to have • Excellent verbal and written communication skills in English
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