Senior NLP / GenAI Engineer

About the role

Prometeia S.p.A., a provider of software solutions and consulting for risk management, financial analysis and planning for financial institutions, is expanding its data science team in the Turkey region and is looking for a senior candidate in data science and machine learning engineering. The role sits in the Data Science and AI team, which focuses on digitalization of financial institutions as well as cross-sectoral real-world AI applications. The position is based in Istanbul.

Key responsibilities

• Build LLM and GenAI model validation methodologies specialized in Turkish and English.
• Research, prototype and implement state-of-the-art ML/DL algorithms (including LLMs and generative AI) in real-world data science problems.
• Facilitate and lead the integration of the resulting systems and software into existing production environments.
• Collaborate with local and international data scientists, domain experts and business stakeholders to turn analytical insights into production-ready solutions.
• Engage in applied research, co-author technical papers and represent Prometeia at data science conferences or academic collaborations.

Required profile

• 2-3 years of academic and/or industry experience in machine learning.
• BSc, MSc or PhD (or pursuing a PhD) in machine learning, deep learning or related fields of computer science and data science.
• Experience in NLP and ML research, or similar experience developing language technologies for proof of concepts.
• Strong communication, presentation and storytelling skills, and proven team leadership and mentoring abilities.

Required skills

• Proficiency in Python; practical experience with pandas, scikit-learn, matplotlib, PySpark, PyTorch, transformers, NLTK, Spacy and LangChain.
• Solid understanding of computer science fundamentals, Linux/Unix, and transformer-based models and deep learning.
• Nice to have: SQL, NoSQL and vector databases, LLM APIs, Azure, and knowledge of low-rank adaptation, quantization, distillation, RAG, agentic approaches, advanced prompting and LLM-as-a-judge.

What we offer

• Total compensation: fixed and variable pay, a welfare plan since 2015 and benefits for employee well-being.
• Remote working as an organizational method based on trust.
• A people program with regular feedback, and about 11 days of training per year, in person and online.
• A win/win policy with a financial bonus for recommending hires.