Our client is a multinational IT consulting company, with presence in more than 45 countries across five continents.
They are currently seeking a Data Scientist to join their team.
Mission:
As a Data Scientist in the Data Analytics team, you will be at the forefront of developing innovative AI solutions.
Your work will focus on generative models, experimentation, and cutting-edge research to drive impactful results.
Main responsibilities/functions:
- Model Development: Design, implement, and optimize models for generative AI applications.
- Algorithm Research: Stay current with the latest advancements in AI and machine learning, and integrate new algorithms into team projects.
- Experimentation: Conduct experiments to evaluate model performance and iterate based on findings.
- Agentic GenAI Research: Explore agentic GenAI approaches and define best practices for implementation.
Key Competencies:
- Business Statistics: Ability to apply statistical tools and processes to describe and interpret business results.
- Analytical Thinking: Strong problem-solving skills and the ability to identify root causes and develop effective solutions.
- Machine Learning: Solid understanding of ML principles, technologies, and algorithms, with experience in building and deploying models.
- Programming Languages: Proficiency in programming concepts and tools to write and modify code effectively.
- Requirements Analysis: Ability to elicit, analyze, and document business and technical requirements to support successful solution delivery.
Requirements:
- Relevant corporate experience working with GenAI frameworks (such as LangChain, LangGraph, Semantic Kernel, and ) and deployments.
- Experience building chatbots (not just deploying someone elses work).
- Python is a must-have.
- Working with LLMs, NMTs, prompt engineering, agent evaluation, LLM evaluation.
- Experience with Python libraries such as LangGraph and LangChain.
- Familiarity with AWS SageMaker or similar ML platforms.
- Ability to evaluate and improve outputs from Large Language Models (LLMs).
- Background in Machine Learning and Computer Vision.
- Advanced verbal and written English communication skills.
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