Açıklama:
GENEL NİTELİKLER VE İŞ TANIMI
As a technology service provider that draws its strength from innovation and its team of 2,500+ experts in Türkiye, it supports end-to-end digital transformation in business processes with its products, services, and solutions. It offers technology solutions to its customers in cooperation with many different organizations, including SAP and Microsoft, the pioneers of their sectors. It offers solutions for the specific needs of organizations and sectors with special products developed on a global and local basis and provides application development services. Expanding its country-based technology projects regionally and globally, NTT DATA Business Solutions Türkiye offers managed services in areas such as support, technology modernization, application management and outsourcing.
Growing its customers' businesses with technology, NTT DATA Business Solutions Türkiye develops next-generation technologies for a sustainable future with its innovation center and R&D Center approved by the Ministry of Industry. It generates innovation in line with the needs of organizations in Türkiye and transforms business ideas into products by working on innovative technologies in the fields of sustainability, artificial intelligence, IoT, blockchain and robotic process automation on cloud platforms. With more than 400 expert consultants in the Customer Experience and Support Center, it provides 24/7 application support services to hundreds of organizations on 5 continents.
QUALIFICATIONS
- Bachelor's or Master's Degree preferably in Engineering, Computer Science, Statistics, or a related field.
- 2+ years of experience in relevant fields,
- Proficiency in Python, with a strong understanding of REST APIs,
- Strong theoretical understanding of machine learning, deep learning and NLP fundamentals,
- Solid understanding of transformers, attention mechanisms, and Retrieval-Augmented Generation (RAG)
- Expertise in natural language processing (NLP) and/or computer vision, particularly in generative tasks,
- Experience with MLOps tools for model management and deployment (e.g., MLflow, Kubeflow, Docker, Kubernetes),
- Experience with version control,
- Proficiency in SQL - able to write structured and efficient queries,
- Familiar with or using cloud platforms such as Microsoft Azure, AWS, GCP is a big plus,
- Good command of spoken and written English,
- Creative and innovative problem-solving skills,
- Good team player, and analytical mind,
- Curious about new technologies and open to learning,
- Passionate to think and research analytically.