MLOps Engineer
Builds and runs the ML infrastructure behind Kiefer Tech's products (Sophea AI LLM, RAG platform, robotics, Hyperion X energy trading): training/fine-tuning pipelines, experiment tracking, model serving with rollout/rollback, GPU scheduling, and production monitoring. Core stack: Python, Linux, containers, CI/CD, GPUs.
- Compensation
- €70K–€100K / yr
- Location
- Athens, GR
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Hands-on experience building or operating infrastructure for production ML systems
- Strong Python and Linux skills, with ability to write maintainable production code
- Practical understanding of the ML lifecycle, from experiments and evaluation to model deployment
- Experience with containers, workload orchestration, CI/CD, and infrastructure automation
- Experience working with GPU workloads and measuring performance, utilization, and cost
- Experience monitoring and troubleshooting production systems
Nice to have
- Experience with LLM serving tools such as vLLM, SGLang, or NVIDIA Triton
- Experience with distributed or multi-GPU training
- Experience with ML tooling such as MLflow, Weights & Biases, Kubeflow, or Ray
- Experience supporting ML workloads in private cloud or on-premises environments with data governance requirements
Full description
MLOps Engineer
Department: Technology
Location: Athens
Compensation: €70K – €100K
Employment Type: FullTime
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role
We are looking for an MLOps Engineer to build the infrastructure and tools that support ML work at Kiefer Tech. Our work spans Sophea AI language model, the Sophea Nous RAG platform, robotics, and Hyperion X, our energy trading platform.
You will work closely with ML and Engineering teams to make experiments reproducible and model deployment and production operations reliable.
What you will do
- Build workflows for running and managing model training and fine-tuning jobs.
- Make experiments traceable through dataset, checkpoint, and model artifact versioning.
- Automate model evaluation and release checks so teams can compare changes before deployment.
- Build deployment and serving workflows, including safe rollout and rollback of model versions.
- Improve GPU workload scheduling and utilization, with attention to performance and compute cost.
- Add monitoring and troubleshooting tools for production ML systems, and work with teams to resolve recurring issues.
What you will need
- Hands-on experience building or operating infrastructure for production ML systems.
- Strong Python and Linux skills, with the ability to write maintainable production code.
- A practical understanding of the ML lifecycle, from experiments and evaluation to model deployment.
- Experience with containers, workload orchestration, CI/CD, and infrastructure automation.
- Experience working with GPU workloads and measuring performance, utilization, and cost.
- Experience monitoring and troubleshooting production systems.
Nice to have
- Experience with LLM serving tools such as vLLM, SGLang, or NVIDIA Triton.
- Experience with distributed or multi-GPU training.