Jobs at KIEFER

Improve language model quality for Polish users by defining use cases, measuring model performance, building datasets and evaluations, fine-tuning or adapting NLP and LLM models, and implementing regression testing, monitoring, and production ML practices. The role also analyzes language errors, incorporates human review and market feedback, and develops reusable multilingual evaluation methods.

Develop and improve agent and long-context LLM capabilities through post-training, data generation, evaluation, agent design, and inference optimization. Build benchmarks, verifiers, diagnostic tools, and reliable multi-step workflows involving tool use, memory, retrieval, and error recovery. Collaborate with ML, Product, and Engineering teams to productionize successful experiments with regression checks and improved performance and cost.

Develop and improve automatic speech recognition models for real meeting audio. Responsibilities include training and fine-tuning models, preparing datasets, building benchmarks and regression tests, performing error analysis, optimizing inference, and deploying and monitoring production ML systems. The role collaborates with Engineering and Product to establish quality goals and prioritize improvements across accuracy, latency, reliability, throughput, and cost.

Develop, train, and evaluate machine learning models for navigation, perception, planning, and robot behavior. Build robotics data and evaluation pipelines, integrate models with sensors, actuators, control systems, and robotics software, and test performance on physical robots. The role focuses on sim-to-real transfer, latency, reliability, and failure analysis across Unitree robotic platforms and NVIDIA Jetson hardware.

Build and operate infrastructure for production machine learning systems. Responsibilities include creating training and fine-tuning workflows, versioning datasets and model artifacts, automating evaluation and release checks, deploying and rolling back models, optimizing GPU workloads, and monitoring production ML systems. The role partners with ML and engineering teams across language models, RAG, robotics, and energy trading applications.

Lead the ML Engineering team developing Sophea AI, a Greek-focused large language model. Own LLM training, fine-tuning, ASR, inference optimization, validation, and production ML systems. Establish technical direction, improve team workflows and ownership, translate roadmaps into accountable workstreams, mentor engineers, and apply relevant AI research. The role also involves MLOps infrastructure, model serving, GPU workload management, experiment tracking, and real-time inference architectures.

Manage monthly payroll operations from data validation through closing, including time and attendance, leave, benefits, compensation changes, reconciliations, reporting, employee lifecycle documentation, and ERGANI II submissions. Ensure compliance with Greek labor and social security legislation, maintain accurate HR and payroll data, resolve employee queries, and identify payroll risks. Use AI and automation tools to improve validation, anomaly detection, reporting, and HR workflows.

Lead commercialization of KIEFER’s AI, robotics, and operational intelligence solutions to utilities, grid operators, and energy conglomerates across Greece and Southeast Europe. Build and close high-value enterprise deals, navigate public tenders and complex procurement, translate technical capabilities into ROI, manage strategic accounts, and partner with Engineering, Product, and the CEO to refine product-market fit. The role requires deep grid infrastructure knowledge, executive-level utility relationships, and regular regional travel.