**NTT DATA – a part of NTT Group - is a Top 10 global IT services provider, headquartered in Tokyo, with over 150,000 employees.** **We deliver consulting solutions** by combining specialized sectorial knowledge, our transformation management skills, and our large technology expertise (data, RPA, AI, low code, cloud, IoT, virtual reality), to keep our clients, as well as society, a step ahead in this digitally dynamic world. Everything we do is underpinned by our **core values** of 'Teamwork', 'Foresight' and 'Clients First'. Our shared **leadership principles** of Collaboration, Engagement and Curiosity help us build a community where our people are equipped with the best resources to face new challenges. **NTT Data Greece** team is looking for an **AI Engineer** to work with clients in the European Public sector such as European Commission European Patent Office, European Medicines Agency and United Nations. You will work closely with a team of consultants to develop intelligent tools and algorithms that drive impactful insights in skills and labor market intelligence. Your expertise in AI, natural language processing, and knowledge graphs will be essential in building innovative solutions that support informed decision-making. We seek a collaborative team player with a proven track record in applying NLP and AI algorithms in a product context and a strong interest in solving real-world challenges. **Your role:** + Design and develop intelligent tools for skills and labor market intelligence, including career recommendations and insights based on AI-driven data. + Research and apply the latest algorithms and libraries, tailoring them for skills and labor market contexts, and perform ongoing adaptations to improve project outcomes. + Assess data quality and completeness, suggesting improvements to optimize machine learning models and strengthen data reliability. + Build and optimize data and model pipelines to enable scalable and reusable AI solutions. + Collaborate closely with interdisciplinary teams, drafting reports, technical documentation, and presentation materials to share findings and insights. **Why NTT DATA?** We value a **collaborative** and **supportive** environment, celebrating **curiosity** and **engagement** We are committed to supporting the physical, financial and emotional well-being our of employees **Career development.** Training path and access to learning opportunities, yearly performance reviews and a mentorship program We believe in **work-life balance** and **flexibility** . Wear casual clothing, decide your working hours and enjoy our hybrid working model **Talent Friends.** Refer a friend and receive a **bonus** when they join **We care about you** **Health & well-being.** Focus on your mental health with access to a platform with certified psychologists & mental health workshops. Take a break with one of our online fitness and well-being sessions **Diversity & inclusion.** We are committed to equal employment opportunities regardless of gender, gender expression and identity, sexual orientation, religion, culture, origin, disability, age, or other personal and social characteristics. **\#WeAreAllUnique** **\#YouMakeUsUnique** Please let us know if you require us to accommodate any accessibility needs during the recruitment process. **Benefits at NTT DATA Greece** Health insurance for the employee and one dependent family member (100% paid by NTT DATA) Meal vouchers of 120€ per month (x12) Corporate mobile phone: subscription & device Teleworking equipment allowance Udemy Account Access to Open Up mental health service ****Certification Bonus Scheme (for Technology)** **** Annual Collective Bonus (for Executives)** 28 days of paid annual leave consisting of your legal holidays and compensation days **Your profile:** + Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. + Minimum of 4 years of experience in AI engineering, with a strong track record in machine learning and natural language processing. + Up-to-date knowledge on the latest trends and research in data science, with a solid understanding of available libraries, APIs, and algorithms. + Proven experience developing AI and NLP algorithms in a production context, including applications like forecasting, recommendation engines, and semantic similarity. + Proficiency in programming languages and tools: Python and specific libraries such as PyTorch, NLTK, Gensim, spaCy, HuggingFace), Git, Docker, and AWS. + Specific NLP technology and techniques such as machine learning, deep learning transformers, Large Language Models. + Strong analytical skills with a detail-oriented mindset, and a proactive approach to addressing complex business challenges. + Excellent communication skills in English, both written and spoken, are essential.