Hybrid Data Scientist / Machine Learning Engineer

Posted 19 minutes ago

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About the role

  • Data Scientist / Machine Learning Engineer designing and deploying machine learning algorithms at Helvetic Payroll. Collaborating closely with business teams for impactful solutions and measurable results.

Responsibilities

  • Designing and deploying ML models (recommender systems, classifiers, Generative AI)
  • Measuring the ROI of models in production and building business case presentations
  • Building CI/CD pipelines and working closely with Data Engineers
  • Deploying ML solutions in Vertex AI (GCP)
  • Managing project milestones and presenting progress and outcomes to leadership
  • Interacting with business teams to understand their needs and translate them into technical solutions
  • Presenting technical results and project outcomes to non-technical stakeholders in a clear and accessible way

Requirements

  • Minimum of 5 years of experience in Data Science and Machine Learning
  • Strong specialization in Data Science with proven hands-on experience
  • Previous experience working with Google Cloud Platform (GCP), ideally Vertex AI
  • Expert in Python and SQL
  • Solid experience with Git and CI/CD pipelines
  • Understanding of Airflow and Terraform
  • Strong business acumen: ability to turn data into actionable business decisions
  • Excellent communication skills, with the ability to present complex technical topics simply and effectively
  • Experience with Generative AI in production settings is a strong plus
  • Proficiency in English mandatory (C1 minimum).

Benefits

  • Flexible work arrangements

Job title

Data Scientist / Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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