GENERATIVE AI DEVELOPER

ABOUT LITITLITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

ABOUT THE CLIENTOur client is a leading global company in the premium automobile industry, renowned for its innovative and high-quality vehicles. They are recognized for their commitment to engineering excellence, cutting-edge technology, and sustainable mobility solutions. With a strong emphasis on performance, design, and customer satisfaction, they continually push the boundaries of automotive innovation and are a significant player in shaping the future of the industry.

ABOUT THE ROLEWe are seeking a skilled Generative AI Developer to join our team. This role involves developing and deploying advanced AI models and chatbots, translating data into actionable insights, and managing CI/CD pipelines. You will also process and analyze support ticket data using AI, utilize GPU computing for efficient model training, and work with cloud platforms and containerization technologies. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment.

Lithuanian applicants are a priority; however, we are also open to considering experienced candidates from other EU countries.

RESPONSIBILITIESDevelop and deploy advanced generative AI models and chatbots.Translate data into actionable business insights using AI.Design, implement, and manage CI/CD pipelines to streamline development and deployment processes.Process and analyze ticket data (support incidents) to extract meaningful insights and improve support operations using AI.Utilize GPU computing and parallel processing techniques to enhance the efficiency of model training.Work extensively with AWS (Lambda, ECS, EKS, ECR, SageMaker) to deploy and manage applications.Leverage Azure for various cloud-based operations.Utilize Docker for containerization of applications.Implement and manage Kubernetes for container orchestration and deployment.Apply strong understanding of networking concepts and security principles to ensure robust and secure application environments.Provide excellent problem-solving and troubleshooting skills to resolve complex technical issues.

Key Skills

• Data Science