Machine Learning Engineer
Kiefer
Machine Learning Engineer
Kiefer
EPC contractor delivering renewable energy projects
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 ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production.
What you will do
Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods.
Improve how agents plan, use tools, manage execution, and recover from errors.
Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures.
Generate and curate training data, including agent trajectories and difficult cases from target workflows.
Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks.
Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks.
What you will need
3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results.
Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method.
Experience building agent systems involving tool use, multi-step execution, and error recovery.
Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data.
Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills.
Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost.
Nice to have
Reward modeling or verifier-based training.
Long-context training, memory systems, retrieval, or context compression.
Distributed training or high-performance LLM serving.
Experience delivering agents for complex enterprise, coding, or research workflows.
What is there for you
Compensation: Competitive package aligned with talent benchmarks.
Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications.
AI-native environment: Real challenges across model development, evaluation, and production AI systems.
Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.
kIEFER TEK LTD is a Greek EPC contractor in the renewable energy sector, delivering end-to-end solutions for energy systems. It develops, designs, supplies, constructs, and maintains photovoltaic, wind, small hydro, and biogas projects, as well as energy storage stations. The company manages the full project lifecycle from development to operation, using a turnkey approach that combines low initial costs with long plant life and ongoing monitoring and maintenance to optimize performance. It differentiates itself through its comprehensive lifecycle service, competitive pricing, and a growing footprint in Southeast Europe (Cyprus, Bulgaria, Romania) with ISO 9001:2015 quality certification and a 200 MW operating license. Its goal is to build long-term client relationships by delivering high-quality, cost-efficient projects while expanding capacity and storage across Greece and the region, aiming for about 1 GW of storage and securing 1 GW of additional renewables capacity in 2021–2024.
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