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Senior Data Scientist (Generative AI)

SoftServe Abu Dhabi, United Arab Emirates Posted: 02 Apr 2025

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Relocation Support
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job:
SoftServe is a digital authority that advises and provides service at the cutting edge of technology. We empower enterprises and software companies to (re)identify their differentiation, accelerate solution development, and vigorously compete in today’s digital economy. We aim to transform 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. Our Data Science Center of Excellence contributes to a wide range of projects across different areas, domains, and technologies.
The Generative AI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate Generative AI, AI, Data Analytics, MLOps, and Cloud infrastructure.


Requirements:

  • Holder of a Ph.D. or Master's Degree in Computer Science or a related field.
  • 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).
  • Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation.
  • Proficient in advanced deep learning techniques, particularly with pre-trained language models like GPT-4 and BERT.
  • Aware of the software development lifecycle of AI projects and machine learning operationalization processes.
  • Experience deploying AI solutions to major cloud providers.
  • Hands-on experience with Python and TensorFlow or PyTorch.
  • Strong interpersonal, analytical, and problem-solving skills.
  • Ability to communicate complex concepts clearly to non-technical audiences.
  • Capable of maintaining business communication in English at an upper-intermediate level.

Responsibilities:

  • Work with the complete data analysis, deep learning, and machine learning model pipeline, including deep analysis of customer data, modeling, and deployment in production.
  • Select relevant computational tools for research objectives.
  • Drive the development of innovative solutions for language generation, text synthesis, and creative content generation.
  • Develop and implement advanced Generative AI solutions, such as intelligent assistants and Retrieval-Augmented Generation (RAG) systems.
  • Produce organized and error-free computer programs with the appropriate technology stack.
  • Present results to stakeholders and gather business requirements.
  • Develop expertise in state-of-the-art Generative AI techniques and methodologies.
  • Build and operationalize ML models, including data manipulation, experiment design, and generating insights.
  • Lead teams of data scientists and software engineers to successful project execution.

Work Environment:

  • Collaborate with Data Scientists, DevOps teams, and ML Engineers to build infrastructure and set up processes for machine learning pipelines.
  • Drive innovation in Generative AI and Language Models through groundbreaking projects that redefine AI-powered content generation.
  • Engage with leading companies and participate in international events and certification programs in cutting-edge technologies.
  • Access powerful educational and mentorship programs while working within a dynamic and supportive environment.

SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status.

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About SoftServe

SoftServe is a premier IT consulting and digital services provider with over 30 years of experience, specializing in digital engineering, data and analytics, cloud, and AI/ML solutions for various industries.