Strong understanding of LLM architectures and expertise in fine tuning pre trained models on domain specific data., Experience with RAG (Retrieval Augmented Generation), Prompt Engineering concepts and fundamentals (Vector DBs)., In depth knowledge of machine learning, deep learning, and NLP. Manage prioritization and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM., Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system., Good exposure in Python and strong knowledge in SQL, GitHub. Be familiar with CI/CD pipelines., Cloud Platforms knowledge must: Azure /GCP., Strong communication/presentation skills in English, can present technical solutions, capabilities, considerations, and features to business parties.

In-office gym, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, corporate sports team, retirement pension plan, corporate library, no dress code, coffee / tea, parking space for employees, leisure zone, extra social benefits, employee referral program, opportunity to obtain permits and licenses, charity initiatives, family picnics, extra leave