Jobs

Senior NLP / GenAI Engineer

Prometeia

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Location
İstanbul, TUR
Track
LLM Engineer
Level
Senior
Posted
November 10, 2026
Source
Built In

Job description

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 offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

RESPONSIBILITIES

  • 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.

REQUIREMENTS

  • 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 about dataset creation and annotation processes (nice-to-have)
  • Knowledge about both SQL and NoSQL databases and vector databases
  • Familiarity with LLM APIs (nice-to-have)
  • Familiarity with cloud services like Azure (nice-to-have)

EDUCATION &

EXPERIENCE

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

SOFT SKILLS

  • 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.

LOCATION

Istanbul

WHAT WE OFFER

COMPENSATION, WELFARE & BENEFIT

Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING

Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

PEOPLE PROGRAM

Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company.

TRAINING

Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

WIN/WIN POLICY

If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.

PHYGITAL MANAGEMENT

Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling... everything is just a click away.

COMMUNITY

Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration.

DIVERSITY

We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusi

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