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Machine Learning Engineer

Job Overview
Leverages creativity and machine learning expertise to help identify areas to apply advanced analytics in different parts of the organization. Involved in defining the scope of data science products and the internal analytics roadmap. Develops clear, concise communication strategies for explaining relevant machine learning and data science concepts to business stakeholders.
Typical Activities

  • Contribute to stable, reliable product development work in cross-functional autonomous SCRUM teams
  • Build and train new production-grade algorithms that can learn from complex, high-dimensional data in order to uncover patterns from which machine learning models and applications can be developed
  • Write well-designed, testable, efficient code
  • Guide the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
  • Research current and emerging industry tools, techniques and algorithms, and share these findings with colleagues or prepare and submit conference and journal articles

Essential Requirements

  • Demonstrable experience working on creating machine learning algorithms
  • Prior engineering project experience using relevant skills and technologies, especially with Python (Scikit-learn, Tensor Flow, Pandas, Numpy, Scipy)
  • Experience with building, testing, measuring, and deploying machine learning models in production
  • Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc)
  • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
  • Previous experience of owning, maintaining and enhancing software data products
  • Attention to clarity of code, ease of development, and correctness of implementations
  • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools
  • STEM-related degree (Bachelor's, Master's or Doctorate)

Preferred Requirements

  • Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks
  • Knowledge of cloud systems such as AWS, Azure, GCP and containerisation such as Docker
  • Experience working with large, real-world datasets
  • Demonstrated in-depth understanding of product development lifecycle
  • Experience deploying code into production through CI/CD tools
  • Knowledge of biostatistics/life sciences/healthcare technology



At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.

Machine Learning Engineer

Warsaw
Full Time

Published on 11/25/2021

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