Description
Freelance machine learning engineer needed for a fully remote contractStart ASAP
6 month contract
€60 per hour
Knowledge of the pros and cons of the main CI/CD frameworks in the market and hands-on experience with at least one of these
Knowledge on best practices for producing quality code (version control, automated testing and code analysis, git branching,)
Experience working in a complex IT landscape with a mix of on-prem and cloud environments
Experience with at least one of the different ML deployment patterns (Model-as-a-service, Embedded-deployment, Batch)
Experience working with ML lifecycle Good to have
Understanding of the ML lifecycle and how ML ops differs from DevOps
Experience in working on AWS
Experience in working with the component of a ML infrastructure, e.g. ML registry, cloud platforms and related technologies (e.g. AWS, Google Cloud, Kubernetes and/or Azure)
Experience with multiple the different ML deployment patterns
Containerized development tooling such as: Docker, Kubernetes, Terraform scripting (or CloudFormation), Openshifts, KFServing/KServe
Logging tools, such as: ElasticStack, Grafana, Prometheus and/or others
Nice to have: Machine learning frameworks, such as: Tensorflow and/or PyTorch; Hands on experience with MLFLow, SageMaker, Seldon, Airflow, Argo, Prefect or DataBricks