Senior NLP; GenAI Engineer

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?

Prometeia S.p.A, a leading provider of software solutions and consulting services for Risk Management, Financial Analysis, and Planning for financial institutions, is extending its capabilities with an experienced data science team in Turkey region and is looking for a senior candidate within the areas of Data Science and ML Engineering.

Candidate will be placed in the team of Data Science and Artificial Intelligence (AI) with an entrepreneurship soul and a focus on not only financial institutions' digitalization processes but also cross-sectoral real-world applications of AI. The ideal candidate will have strong software engineering and leadership skills.

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

• 2-3 years of academic and/or industry experience in Machine Learning.
• Proficiency and hands-on experience in Python programming.
• Practical experience with one or more of the following frameworks and libraries: pandas, scikit-learn, matplotlib, PySpark, PyTorch, transformers, NLTK, Spacy, langchain.
• Solid understanding of computer science fundamentals, including data structures, algorithms, runtime analysis, and object-oriented design patterns.
• Experience with Linux/Unix operating systems.
• Experience in NLP and Machine Learning scientific research, or similar experience in developing language technologies for shipping POCs.
• Familiarity with transformer-based models and deep learning
• Understanding of methods such as low-rank adaptation, quantization, distillation, retrieval augmented generation, agentic approaches, advanced prompting techniques and LLM-as-a-Judge
• Understanding of model evaluation
• Knowledge on dataset creation and annotation processes (nice-to-have)
• Knowledge on both SQL and No
  
  SQL databases and vector databases
• Familiarity with LLM APIs (nice-to-have)
• Familiarity with cloud services like Azure (nice-to-have)

• Having a Bsc., Msc. or having/pursing PhD. degree in Machine Learning, Deep Learning or related fields of Computer Science and Data Science

• Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
• Strong presentation and storytelling skills, with an emphasis on clear data visualization.
• Strong research and problem-solving skills.
• Proven team leadership and mentoring abilities, fostering collaboration and knowledge sharing within multidisciplinary teams.
• High attention to detail, structured problem-solving mindset, and accountability for project delivery.
• Excellent interpersonal skills, with the ability to coordinate across stakeholders and manage priorities in a dynamic environment.

Our history, as well as our future, is based on the value of our people. Prometeia’s biggest investment is in our people and it concerns every aspect of professional life. We call it “Total Compensation” and it is made of three elements:
Compensation, consisting of a fixed and a variable component, a Welfare Plan active since 2015 –we were among the first companies in Italy to introduce it–, and Benefits, including all initiatives for the well-being of our people.

Flexibility is an intrinsic value of our way of working. In…