Senior MLOps Engineer fmd
Senior MLOps Engineer fmd
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Salary Not Disclosed
1 Vacancy
Job Description
Overview:
As an MLOps Engineer at Aleph Alpha GmbH you will play a crucial role in bridging the gap between machine learning and production systems. You will be responsible for designing deploying and maintaining robust ML infrastructure to support scalable AI applications. If you are passionate about optimizing AI workflows building scalable ML pipelines and driving automation this is your opportunity to make a significant impact in a fastpaced cuttingedge environment.
Your Responsibilities:
Design build and optimize scalable and automated ML pipelines for training.
Deploy monitor and manage ML models in production across cloud and onpremise environments.
Collaborate with crossfunctional teams including ML researchers data engineers and software developers to streamline AI model lifecycle management.
Architect and implement CI/CD pipelines for ML models ensuring efficient and reliable deployment.
Optimize and automate ML workflows from data ingestion to realtime inference.
Develop monitoring and logging systems to track model performance detect drift and ensure reliability.
Ensure compliance and security of ML systems by implementing best practices in IAM data privacy and governance.
Work with containerization technologies (Docker Kubernetes) to deploy and scale ML models effectively.
Continuously evaluate and integrate emerging MLOps tools to enhance productivity and scalability.
Your Profile:
Proficiency in Python
Strong understanding of LLM lifecycle from development to deployment.
Experience with cloud platforms (AWS Google Cloud) and containerization technologies (Docker Kubernetes).
Expertise with distributed training frameworks.
Strong foundation in DevOps principles including CI/CD infrastructure as code and monitoring.
Experience with shipping packaged kubernetes applications (helm).
Familiarity with version control and model versioning (Git DVC MLflow).
Passion for staying up to date with MLOps innovations and applying them to drive AI scalability.
What you can expect from us:
Become part of an AI revolution!
30 days of paid vacation
Access to a variety of fitness & wellness offerings via Wellhub
Mental health support through nilo.health
Substantially subsidized company pension plan for your future security
Subsidized Germanywide transportation ticket
Budget for additional technical equipment
Flexible working hours for better worklife balance and hybrid working model
Virtual Stock Option Plan
Required Experience:
Senior IC
Employment Type
Full-Time
