GeekSoft Consulting
Data Scientist / Machine Learning Engineer
GeekSoft ConsultingNetherlands3 days ago
Full-timeInformation Technology
  • Help design, build and continuously improve the clients online platform
  • Research, suggest and implement new technology solutions following best practices/standards
  • Take responsibility for the resiliency and availability of different products
  • Be a productive member of the team.



Requirements

  • 12+ years of overall experience in the IT industry, with 4+ years of relevant experience in AI/ML
  • Proven expertise in designing end-to-end AI systems, including data pipelines, model deployment, and system integration to ensure seamless operations and data flow
  • Focus on building scalable, reliable, and high-performance AI solutions
  • Hands-on experience in building, training, and optimizing machine learning models, including algorithm selection, hyperparameter tuning, and performance optimization
  • Strong understanding of evaluating and validating model performance using industry-standard metrics and techniques to ensure quality and business relevance
  • Ownership of the entire ML lifecycle, from data exploration and feature engineering to model deployment and operationalization
  • Work collaboratively with cross-functional teams including data engineers, data scientists, product managers, and business stakeholders to deliver and maintain AI-driven solutions
  • Ability to design, explain, and implement ML models that integrate with business processes and systems
  • Responsible for supporting end-users and ensuring the usability and functionality of delivered solutions
  • Collaborate with MLOps engineers for model deployment and operationalization through batch processing or real-time APIs
  • Ability to integrate ML models with existing systems or expose them via consumer-facing interfaces
  • Strong familiarity with Microsoft Azure, including hands-on experience in Azure Machine Learning Studio.



Benefits

  • A challenging, innovating environment.
  • Opportunities for learning where needed.

Key Skills

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