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Senior Data Scientist (GenAI/ML)


Overview

As a Senior Data Scientist, you will design and deploy production-grade ML and AI solutions to optimize large-scale industrial operations. You will collaborate with data engineers, architects, and business stakeholders to turn data into actionable insights and scalable models in a cloud-enabled environment. The role spans predictive analytics, computer vision, document intelligence, and Generative AI applications, with a focus on reliability, governance, and stakeholder communication. You’ll shape data-driven improvements across offshore assets and industrial processes, leveraging Azure and modern DevOps practices to deliver impact.

Arbeidsvoorwaarden / Benefits
  • Hybrid work environment
  • opportunity to work on cutting-edge Generative AI projects
  • modern Azure cloud and AI technology stack
  • international and collaborative culture
  • long-term career growth opportunities
Verantwoordelijkheden
  • Develop and deploy machine learning models in Python
  • Build end-to-end AI solutions from data prep to production deployment
  • Design predictive analytics and time-series forecasting models
  • Create anomaly detection and operational optimization solutions
  • Develop computer vision and document intelligence applications
  • Work with LLMs, RAG, and Generative AI use cases
  • Apply MLOps practices for scalable deployments
  • Translate business requirements into technical solutions
  • Communicate findings to technical and non-technical stakeholders
  • Collaborate in an Azure-based cloud environment with DevOps practices
Belangrijkste vereisten
  • 5+ years of experience as Data Scientist or similar
  • Strong Python development skills
  • Production ML solutions experience
  • Solid understanding of statistics, ML, and data modelling
  • Experience with Microsoft Azure (Azure ML or related services)
  • Knowledge of Generative AI: LLMs, prompt engineering, RAG, governance
  • Experience with Git, CI/CD pipelines, and MLOps
  • Strong communication and stakeholder management
  • Fluent English
  • strong communication
  • stakeholder management
  • cross-functional collaboration
  • Python
  • Azure ML or Microsoft Azure
  • LLMs

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