About the Client
For our client SoftServe, we are looking for a Senior Data Scientist (Gen AI) to relocate to Abu Dhabi.
About SoftServe
SoftServe is transforming the way thousands of global organizations do business by developing innovative technologies and processes in Big Data, IoT, Data Science, and Experience Design. As one of the largest teams in Eastern Europe, they have a strong foundation in data science, offering extensive experience and collaboration with top talents in the field.
The Data Science Center of Excellence at SoftServe contributes to a wide range of projects across various areas, domains, and technologies. Their GenAI Strategy focuses on spearheading the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.
Requirements
- Hold a Ph.D. or master's degree in computer science or a related field.
- Be experienced in Generative AI and natural language processing (NLP) techniques, including large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond).
- Possess knowledge of the latest developments in diffusion models and other generative frameworks for both text and image generation.
- Be competent in Generative AI and language models to lead innovative initiatives leveraging cutting-edge techniques in NLP and AI.
- Be adept at applying advanced deep learning techniques in practical scenarios.
- Be well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applications.
- Be proficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasks.
- Have awareness of the software development lifecycle of AI projects and machine learning operationalization processes.
- Be experienced with AI solutions deployment to main cloud providers.
- Be hands-on with Python and TensorFlow or PyTorch.
- Possess strong interpersonal, analytical, and problem-solving skills.
- Be capable of translating complex concepts clearly, concisely, and meaningfully for non-technical audiences.
- Be able to maintain business communication in English at an upper-intermediate level.
Responsibilities
- Work with the full stack of data analysis, deep learning, and machine learning model pipeline, including deep analysis of customer data, modeling, and deployment in production.
- Choose relevant computational tools for study, experiment, or trial research objectives.
- Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using state-of-the-art techniques.
- Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications.
- Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack.
- Present results directly to stakeholders and gather business requirements.
- Develop expertise in state-of-the-art Generative AI techniques and methodologies.
- Grow your skill set within a dynamic and supportive environment.
- Work with Big Data solutions and advanced data tools in cloud platforms.
- Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights.
- Lead teams of data scientists and software engineers to successful project execution.
Together We Will
- Maintain synergy among Data Scientists, DevOps teams, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments.
- Drive innovation in Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generation.
- Communicate with world-leading companies from our logos portfolio.
- Enjoy the opportunity to work with the latest modern tools and technologies on various projects.
- Participate in international events and get certifications in cutting-edge technologies.
- Have access to powerful educational and mentorship programs.
- Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise.