Job description
Project overview
Empower the future of AI — drive innovation through seamless deployment and automation!
Krakow-based opportunity with hybrid work model.
As a Senior MLOps Engineer, you will be working for our client, a leader in cloud-based machine learning and data engineering solutions. You will help optimize ML workflows, support data and engineering teams, and contribute to the development of cutting-edge AI infrastructure that shapes the digital landscape.
Responsibilities
You're ideal for this role if you have:
It is a strong plus if you have: (optional)
Language Required for the role:
Eligibility to work in Europe:
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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
- Support ML and data engineers with DevOps, MLOps, and AIOps practices to ensure scalable, reliable AI solutions
- Assist with framework setup and transformation of Jenkins pipelines to enhance automation
- Develop proof-of-concept (POC) solutions on Google Cloud Platform (GCP) to validate new approaches
- Collaborate cross-functionally to streamline CI/CD processes and optimize ML workflows
- Minimum of 5 years of experience in DevOps, MLOps, or AIOps within the data/AI domain
- Hands-on expertise with cloud frameworks — GCP and/or Azure
- Proficiency in Python and Bash scripting for automation and deployment
- Experience working with Jenkins pipelines and CI/CD tooling
- Knowledge of Spark, SQL, and Hadoop ecosystems
- Communicative level of English
- Only candidates with an existing legal right to work in the European Union will be considered for this role.
Project details
- Start: flexible
- Remote: hybrid
- Location: Krakow, PL
- Rate: 26-500 EUR/h
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