О компании
KIEFER is building Greece's integrated AI ecosystem, spanning renewable energy infrastructure, AI systems, robotics, and enterprise applications. Founded in 2014, it has delivered 600MW+ of energy projects and is developing sovereign AI infrastructure, enterprise AI products, and physical AI systems for Greece and Southeast Europe.
Задачи
•Develop and continuously improve Sophea AI, including LLM training from scratch, fine-tuning, evaluation, and model improvement
•Build production-grade ML pipelines for inference, serving, deployment, monitoring, and model lifecycle management
•Optimize production model performance, including latency, throughput, cost efficiency, quantization, and GPU workload usage
•Work with datasets, experiments, benchmarks, and evaluation methods to improve language model quality and domain-specific performance
Требования
•Strong hands-on experience with LLMs, including fine-tuning, evaluation, and performance improvement
•Strong ML engineering background, including Python, PyTorch, Docker, and production ML practices
•Experience with model serving, inference optimization, quantization, GPU workloads, and frameworks such as vLLM, SGLang, NVIDIA Triton, TensorRT, TGI, or similar tools
•Ability to build production-grade ML systems, not only research prototypes, scripts, basic RAG applications, or high-level AI integrations
•Native-level Polish proficiency
Будет плюсом
•Pre-training and training experience
•ASR systems, speech models or speech-to-text pipelines
•Non-English or multilingual language models or low-resource language adaptation
•MLOps infrastructure, experiment tracking, model serving pipelines, GPU workload management
•Contributions to open-source ML projects or published AI/ML research
Условия
•Competitive compensation package aligned with talent benchmarks
•Remote work option; relocation support is available for candidates open to working from the Athens office
•Hands-on work on Sophea AI, described as one of the most ambitious Greek-focused AI products in the market
•Access to AI-related conferences, certifications, internal knowledge sharing, and advanced AI infrastructure through Kiefer's strategic collaboration with NVIDIA
•Engineering-first culture, high autonomy, low bureaucracy, and space to build meaningful AI products
