We create powerful, beautiful and intuitive digital products. We don't blindly follow trends. We take our understanding of the latest technologies and build the best solutions for our enterprise clients. We’re big believers in collaboration across engineering and product teams. We combine our individual expertise to solve complex challenges. Our Clients are leading players in the Nordic markets for Pensions, Life - and Health Insurance, Banking and Asset Management. We seek team members who care about results and are not afraid of taking ownership. **Data Scientist / AI engineer (Team manager)** **You can expect to** **:** · Imagine new applications of generative AI to address business needs · Integrate Generative AI into existing applications and workflows · Collaborate with ML scientist and engineers to Research, design and develop cutting-edge generative AI algorithms to address real-world challenges · Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership · Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI · Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on various platform · Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder · Provide customer and market feedback to Product and Engineering teams to help define product direction **We expect You to** **:** · Be proficient in Statistics, Machine learning and deep learning concepts · Be skilled in Python frameworks such as Scikit-learn, Scipy, Numpy etc and DL libraries such as Tensor flow, Keras · Be skilled in GenAI Projects such as text Summarization, chatbot creation using LLM models GPT4, Med-Palm, LLAMA etc. · Be skilled in fine tuning open source LLM models such as LLAMA2, google Gemma model to 1-bit LLM using LORA, Quantization and QLORA techniques. · Be skilled in RAG based Architecture using Langchain Framework & used Cohere model to fine tune and re rank the response of Genai based chatbots · Be able to image classification using AI convolutional neural network model such as VGG 16, Resnet, Alex net, Darknet architectures using Computer vision domain · Be able to do object detection using various frameworks such as YOLO, TFOD, Detectron · Be able to image classification, object detection, Tracking, Segmentation knowledge · Have experience with Neural Network, BERT, Transformers, RAG, Langchain, Prompt Engineering, Azure AI Search, Vector DB, Conversational AI, LLMs used: Azure open AI (Gpt4 turbo), LLAMA2, Google Gemma, Cohere model, Azure Open AI Embedding Model · Have Masters in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics · Be proficient in communication in English **We can offer You** **:** · Opportunity to be part of a rapidly expanding global organization · Work with international clients · Opportunity to grow both professionally and personally (incl. Udemy) · Encouraging working atmosphere, engaging activities and extra benefits (e.g. additional health insurance (covers gym subscription), team events, flexible work time) · Hybrid work model with remote work opportunities and visits to Vilnius office 5 times per month (depending on the team and city you live in) · Attractive compensation package: salary (4780-6190 eur/mon. gross) depending on competences you have We are implementing hybrid hiring and work practices which means interviews and work will be conducted online. We will be looking for Your CV. Only suitable candidates will be contacted. Stay up to date with our website cognizant.com/lt/en Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.