Job Description
We are looking to MLOPs Engineer to join our team for a long term fully remote project/contract.
The ideal candidate will have experience in:
- Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
- Work on a backlog of activities to raise MLOps maturity in the organization.
- Proactively introduce a modern, agile and automated approach to Data Science.
- Conduct internal training and presentations about MLOps tools' benefits and usage.
- Required experience and qualifications:
- Experience with Kubernetes
- Experience in operationalization of Data Science projects (MLOps) using at least one of the popular - frameworks or platforms (e.g. Kubeflow & AWS Sagemaker).
- Good understanding of ML and AI concepts. Hands-on experience in ML model development.
- Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
- Experience in CI/CD/CT pipelines implementation.
- Experience with AWSRF
Over 4 years experience in:
- Git, Linux fundamentals, and Bash scripting
- Python programming
- Container concepts: Docker & Kubernetes
- Designing & implementing Continuous Integration / Continuous Delivery pipelines (e.g. GitLab, Argo CD)
- Infrastructure Automation: Configuration Management, Infrastructure as Code (e.g. Ansible, Terraform, AWS CloudFormation)
- Cloud infrastructure & services (AWS, GCP, Azure)
- Cloud-native Kubernetes services (e.g. Amazon EKS, GKE, AKS)
- Monitoring, logging, and alerting tools
At least 1 year experience in:
- any of the Machine Learning areas (e.g. Computer Vision, NLP, Predictive Modelling)
- productisation of Machine Learning solutions
- working with MLOps tools (e.g. MLflow, Kubeflow, Amazon SageMaker)
General:
- Good understanding of Data Science basics (e.g. train/test model data sets, overfitting, classification, clustering)
- Understanding of DevOps concepts and Agile practices
- Experience in working with software development teams on a daily basis
- Superior troubleshooting approach
- Good communication skills
- English at least at B2 level
Contract type: B2B
Project terms: 01/01/2025 - 31/12/2026
Rate: 150+ PLN/h + VAT / 25 200 PLN + VAT per month