Role overview

DIRECTION:

DATA SCIENCE

TECHNICAL LEVEL:

What you'll work on

A holder of a Ph.D. or master’s degree in Computer Science or a related field
Experienced in Generative AI and natural language processing, working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and Gemini
Knowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generation
Adept at applying advanced deep learning techniques to practical use cases
Well-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applications
Proficient in working with pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasks
Aware of the software development lifecycle for AI projects and the operationalization of machine learning models
Experienced in deploying AI solutions on major cloud platforms
Hands-on with Python and deep learning frameworks such as TensorFlow or PyTorch
Skilled in interpersonal communication, analytical reasoning, and complex problem-solving
Capable of translating technical concepts into clear, concise insights that non-technical audiences can easily grasp
Proficient in business communication in English at an upper-intermediate level

Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes 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 systems, and other 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 Generative AI techniques and methodologies
Grow your skill set within a dynamic and supportive environment
Work with 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

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Ai Machine Learning Data Science Mlops Generative Ai