Senior MLOps EngineerContract4-6 monthsFully RemoteStart 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, AzureExperience 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
