Key Responsibilities

• Working with advanced technologies: Python, PyTorch, TensorFlow, Transformers (GPT), MS Copilot, High Performance Computing, Claude, Gemini, LLaMA, and more.
• Researching how AI can be applied in a desirable, feasible, and safe manner within business processes, maintaining active and transparent dialogue with all stakeholders.
• Collaborating with IT teams and other stakeholders to identify and implement LLM-driven solutions for business processes (e.g., intelligent chatbots, summarizing specialized documents, automated reporting).
• Developing, training, optimizing, and managing neural networks and other machine learning models, both in the cloud and on on-premises HPC infrastructure.
• Ensuring compliance with data protection and privacy regulations (e.g., GDPR) and ethical AI principles (EU AI Act).
• Staying up to date with the latest developments in LLMs, Generative AI, and MLOps practices to guide infrastructure and service development.

Candidate Profile

• Master’s degree in Artificial Intelligence, Data Science, Computer Science, or a related field, or equivalent experience.
• Preferably 5 years of professional ICT experience with broad and deep knowledge of AI technologies, machine learning, and data analysis.
• Practical experience implementing and managing LLMs (e.g., BERT, GPT, LLaMA) in production environments.
• Skilled in MLOps tools (e.g., Kafka, MLflow, Kubeflow, Airflow) or willing to learn them.
• Experience with on-premises infrastructure, including containerization (e.g., Docker, Kubernetes) and hardware optimization (e.g., GPU clusters).
• Knowledge of CI/CD pipelines and version control systems (e.g., Jenkins, Git).
• Strong understanding of data protection, privacy, and ethical AI considerations.
• Fluent in English.