Data Scientist

NTT DATA Business Solutions combines the power, global competencies and sectoral expertise of NTT DATA Group, one of the world's top 10 IT solution providers with 190 thousand employees, with local experience. The company, which realizes more than 30 thousand projects worldwide every year with more than 10 thousand employees in more than 30 countries and has been transforming trust into value for 34 years, has been operating in Turkey since 2000.

As a technology service provider that draws its strength from innovation and its team of 2,500 experts in Turkey, 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. With the special products it develops on a global and local basis, it offers solutions to the specific needs of organizations and sectors, and provides application development services. NTT DATA Business Solutions Turkey, which extends its country-based technology projects regionally and globally, offers managed services in areas such as support, technology modernization, application management and outsourcing.

Growing its customers' businesses with technology, NTT DATA Business Solutions Turkey develops next-generation technologies for a sustainable future through its innovation center and R&D Center approved by the Ministry of Industry. It produces innovation in line with the needs of organizations in Turkey and transforms business ideas into products by working on new 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.Collaborate with People & Culture team and other departments to understand business objectives and identify key metrics to measure success.

Required Technical and Professional Expertise

• Bachelor's/Master's/Ph.D. degree in relevant fields like Computer Science, Mathematics, Statistics, Engineering, or Computational Linguistics.
• 4+ years of professional experience leveraging structured and unstructured data for data-driven analytics and insights using ML, NLP, and computer vision solutions.
• Proficiency in Python and experience with tools like Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
• 3+ years of hands-on experience in developing NLP models, ideally with transformer architectures.
• 3+ years of experience in implementing information search and retrieval at scale.
• Knowledge and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI).
• Familiarity with open-source platforms and trends in LLMs.
• Strong familiarity with higher-level trends in LLMs and open-source platforms.
• Experience with contributing to Github and Azure GEN AI Services.

Role Definition

• Design and develop custom ML, NLP, and Large Language Models (LLM) for AI/ML pipelines, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and prompt engineering.
• Develop robust evaluation solutions and tools to assess model performance, accuracy, consistency, and reliability during development and UAT.
• Assist in the deployment of machine learning models into production environments, ensuring reliability and scalability.
• Ensure adherence to specified standards, governance, and best practices in ML model development.
• Troubleshoot complex issues related to machine learning model development and data pipelines.
• Stay updated with higher-level trends in Large Language Models (LLMs) and open-source platforms.
• Nice-to-have: Experience with contributing to Github, open-source initiatives, research projects, or Kaggle competitions.