Senior MLOps Engineer

Senior MLOps Engineer Contract 4-6 months Fully Remote Start Mid March - 1st April latest We have a need to hire a Senior MLOps Engineer on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine learning operations. • Defining the model management lifecycle, including continuous fine-tuning and monitoring of model performance. • Deploying and maintaining machine learning models on Kubernetes clusters. • Working closely with data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with Terraform for CI/CD and infrastructure as code. Strong programming skills in software development. A cloud-agnostic mindset, with experience in Kubeflow considered a bonus We look forward to hearing from you and discussing the role and next steps Must be able to start by 1st April latest