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Senior ML Ops Engineer(m/w/x)
CI/CD pipeline development for ML/LLM models on cloud and on-premise infrastructure. Hands-on ML/LLM deployment experience required. Work from home up to 20 days/year in EU, personal development support.
Requirements
- Experience in MLOps, DevOps, or related role
- Hands-on experience deploying ML/LLM models
- Proficiency in cloud platforms (AWS, Azure, GCP)
- Proficiency in containerization (Docker, Kubernetes)
- Experience with CI/CD tools (Github Actions or Jenkins)
- Experience with ML workflow tools (MLflow, Kubeflow)
- Strong scripting skills (Python, Bash)
- Familiarity with infrastructure-as-code tools (Terraform)
- Experience with Git or version control mechanisms
- Strong analytical skills
- Strong problem-solving skills
Tasks
- Develop and maintain CI/CD pipelines for ML and LLM models
- Optimize LLM deployment for cost, latency, and scalability
- Automate model retraining and redeployment
- Set up and manage cloud and on-premise infrastructure
- Work with containerization and orchestration tools
- Implement data versioning and validation processes
- Use MLflow for experiment tracking and model versioning
- Document MLOps/LLMOps practices
- Mentor team members on deployment best practices
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- DevOps
- ML
- LLM
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Github Actions
- Jenkins
- MLflow
- Kubeflow
- Python
- Bash
- Terraform
- Git
Benefits
Flexible Working
- Work from Home (up to 20 days/year in EU)
Mentorship & Coaching
- Personal development support
Learning & Development
- External trainings
Team Events
- Team events
Retirement Plans
- Company pension plan
Mental Health Support
- Mental health support (nilo psychologists)
- Anonymous and free mental health support
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Senior ML Ops Engineer(m/w/x)
CI/CD pipeline development for ML/LLM models on cloud and on-premise infrastructure. Hands-on ML/LLM deployment experience required. Work from home up to 20 days/year in EU, personal development support.
Requirements
- Experience in MLOps, DevOps, or related role
- Hands-on experience deploying ML/LLM models
- Proficiency in cloud platforms (AWS, Azure, GCP)
- Proficiency in containerization (Docker, Kubernetes)
- Experience with CI/CD tools (Github Actions or Jenkins)
- Experience with ML workflow tools (MLflow, Kubeflow)
- Strong scripting skills (Python, Bash)
- Familiarity with infrastructure-as-code tools (Terraform)
- Experience with Git or version control mechanisms
- Strong analytical skills
- Strong problem-solving skills
Tasks
- Develop and maintain CI/CD pipelines for ML and LLM models
- Optimize LLM deployment for cost, latency, and scalability
- Automate model retraining and redeployment
- Set up and manage cloud and on-premise infrastructure
- Work with containerization and orchestration tools
- Implement data versioning and validation processes
- Use MLflow for experiment tracking and model versioning
- Document MLOps/LLMOps practices
- Mentor team members on deployment best practices
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- DevOps
- ML
- LLM
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Github Actions
- Jenkins
- MLflow
- Kubeflow
- Python
- Bash
- Terraform
- Git
Benefits
Flexible Working
- Work from Home (up to 20 days/year in EU)
Mentorship & Coaching
- Personal development support
Learning & Development
- External trainings
Team Events
- Team events
Retirement Plans
- Company pension plan
Mental Health Support
- Mental health support (nilo psychologists)
- Anonymous and free mental health support
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Redcare Pharmacy
Industry
Pharmaceuticals
Description
Redcare Pharmacy is Europe’s No.1 e-pharmacy, focused on creating a healthy, collaborative work environment and innovative healthcare solutions.
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