Strong background (education or proven experience) in machine learning, software engineering, and solution delivery., Hands-on experience designing and implementing solutions with Large Language Models (LLMs) in production environments., Fluency in Python and strong experience with PyTorch and/or TensorFlow., Proven capability in technical leadership: guiding implementation, conducting code/design reviews, mentoring, and setting best practices., Experience with API integrations and enterprise system integrations (REST, event-driven patterns, authentication/authorization)., Experience shaping architecture for maintainability, scalability, observability, and security (incl. logging, monitoring, performance)., Ability to translate business needs into technical scope, delivery plans, and measurable outcomes., Excellent communication skills and ability to align diverse stakeholders in a global environment., Strong understanding of Transformer architectures; experience with BERT or state-of-the-art transformer models., Practical experience with NLP/NLU, prompt engineering, RAG patterns, evaluation and quality metrics for LLM solutions., Experience building reusable libraries/frameworks and setting internal engineering standards., MLOps experience (CI/CD, model/version management, deployment strategies, reproducibility)., Cloud experience (Azure/AWS/GCP), containerization, and orchestration (Docker/Kubernetes)., Ability to proactively identify automation opportunities, define roadmaps, and execute end-to-end solutions.

access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives