Data Scientist (Generative AI)

Key Skills

Aartificial intelligence, BERT, Big Data Technology, ChatGPT, Data Analytics, Data Mining, Data science techniques, Deep Learning, Design, DevOps, Employee life cycle, Generative AI, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, Statistics, TensorFlow

Job Description

WE ARE

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, who make a difference, who have fun, and who love their work.

Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field. In the Data Science Center of Excellence, you will receive a chance to contribute to a wide range of projects in different areas, domains, and technologies.

The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.

IF YOU ARE

• A holder of Ph.D. or Master's Degree in Computer Science, or a related field
• Experienced in Generative AI and NLP techniques: GANs, Transformers, and Diffusion Models for Image Generation
• Competent in Generative AI and Language Models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI
• An expert in Deep Learning techniques application; knowledgeable of all mandatory technical and areas to use them successfully
• Confident in SoTA in Machine Learning, Deep Learning, NLP, and their application to resolving intricate challenges
• Working with pre-trained Language Models (GPT-3, BERT), and fine-tuning them for specific tasks
• Aware of the software development life cycle of AI projects, Machine Learning operationalization processes
• Experienced with AI solutions deployment to main cloud providers: GCP, AWS, and Azure
• Hands-on with Python and TensorFlow or PyTorch
• Familiar with Big Data solutions and advanced data tools in Cloud Platforms (an advantage)
• Developing and implementing ML models using Generative AI and LLM (nice-to-have)
• Building and operationalizing ML models, including data manipulation, experiment design, developing analysis plans, and generating insights (as a perk)
• Translating complex concepts in clear ways to a non-technical audience (Upper-intermediate, or higher level of English)

AND YOU WANT TO

• Deploy in production Full Stack Data Analysis, Deep Learning, and Machine Learning model pipeline that includes deep analysis of customer data, and modeling
• Apply decision-making regarding relevant computational tools for study, experiment, or trial research objectives
• Lead the application of Generative AI techniques to develop innovative solutions for language generation, text synthesis, and creative content generation
• 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

TOGETHER WE WILL

• Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes and ML pipelines, and integrate them into existing business environments
• Communicate with the world-leading companies from our logos portfolio
• Have the possibility to work with the latest modern tools and technologies on various projects
• Participate in international events and get certifications in cutting-edge technologies
• Access strong educational and mentorship programs