Senior MLOps Engineer

We are currently looking for a talented and innovative Senior MLOps Platform Engineer to join our team. If you are passionate about cloud-agnostic MLOps, eager to work with cutting-edge technologies, and excited about shaping the future of machine learning operations, we want to hear from you. As a key member of our global team, you will play a crucial role in designing and implementing the platform that powers the development, deployment, and maintenance of machine learning models.

Responsibilities:

• Designing and implementing an innovative platform architecture for machine learning operations.
• Collaborating with internal stakeholders and cloud partners to drive continuous improvement and innovation.
• Working closely with data scientists to understand their requirements and ensure smooth workflows for model development and deployment.

Qualifications:

• Proven expertise in MLOps and deploying machine learning models on Kubernetes.
• Proficiency with cloud technologies, including GCP and Azure.
• Experience with Azure DevOps, GKE, AKS, and Terraform for CI/CD and infrastructure as code.
• Strong programming skills, particularly in Python, and familiarity with statically-typed languages.

Your technology stack will include:

• Cloud Platforms: GCP, Azure
• Machine Learning: Kedro, Kubeflow
• DevOps: Azure DevOps, GKE, AKS, Terraform
• Data Management: Apache Beam and Kafka
• Programming: Python + any statically-typed language

Please send me over your CV and this will be reviewed immediately

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.