Redcare Pharmacy
e-pharmacy
SeniorMLOpsEngineer(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“Senior ML Ops Engineer (m/f/d) at Redcare Pharmacy. Skills: MLOps, LLMOps, Cloud infrastructure, CI/CD. Develop CI/CD pipelines. Maintain CI/CD pipelines”
Industry & Context.
analytical skills; problem-solving skills
up to 20 days a year anywhere in the EU
What They're Looking For.
Must Have
hands-on experience deploying ML/LLM models, Proficiency in cloud platforms, Proficiency in containerization, Experience with CI/CD tools, Experience with ML workflow tools, scripting skills (Python, Bash), familiarity with infrastructure-as-code tools, experience with Git or version control mechanisms, analytical and problem-solving skills
Nice to Have
Kubernetes experience a plus
What You'll Do.
Develop CI/CD pipelines
Maintain CI/CD pipelines
Optimize LLM deployment
Automate model retraining
Automate model redeployment
Set up cloud infrastructure
Manage cloud infrastructure
Set up on-premise infrastructure
Manage on-premise infrastructure
Work with containerization tools
Work with orchestration tools
Implement data versioning
Implement data validation
Manage model versions
Maintain reproducibility
Document MLOps practices
How You'll Work.
Team & Collaboration
data scientists; engineers; product teams
Full Job Description
About Redcare Pharmacy: As Europe’s No.1 e-pharmacy, Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy, collaborative work environment where every employee feels valued and inspired to contribute to our vision, “Until every human has their health.” If you’re seeking a career that offers purpose and aligns with your values, join us and start your #Redcareer today. About the role: We are seeking a skilled MLOps Engineer (m/f/d) to support and optimize the deployment and monitoring of machine learning (ML) and large language model (LLM) solutions. In this role, you will bridge the gap between data science and engineering, ensuring scalable, efficient, and reliable deployment of models in production. You’ll work closely with data scientists, engineers, and product teams to design robust MLOps/LLMOps frameworks and contribute to a culture of innovation and best practices. About your tasks: * Develop and maintain CI/CD pipelines for deploying ML and LLM models in production, ensuring rapid and reliable model iteration. * Optimize the deployment process for LLMs, considering cost, latency, and scalability constraints. * Automate model retraining and redeployment processes to respond to changing data patterns. * Set up and manage cloud and on-premise infrastructure for ML/LLM workloads on platforms such as AWS, GCP, or Azure. * Work with containerization and orchestration tools (e.g., Docker, Kubernetes) to ensure scalable and resilient model deployment. * Implement data versioning and validation processes to maintain data integrity throughout the ML lifecycle. * Use tools like MLflow for tracking experiments, managing model versions, and maintaining reproducibility. * Document MLOps/LLMOps practices and mentor team members on deployment best practices. ## Qualifications About you: * Experience in MLOps, DevOps, or a related role, with hands-on experience deploying ML/LLM models. * Proficiency in cloud platforms (AWS,
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