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Senior Machine Learning Engineer

Job in Lausanne - Switzerland
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Company: Nexthink, Inc
Full Time position
Listed on 2019-05-25
Job specializations:
  • Software Development
    Python, Software Engineering, Front End Developer
  • IT/Tech
    Database Engineering
Job Description & How to Apply Below
Position: Senior Machine Learning Engineer - Lausanne

Company Description

Nexthink is a global leader in Digital Employee Experience. Our product allows enterprises to create highly productive digital workplaces for their employees by delivering optimal end-user experience. Through a unique combination of real-time analytics, automation and employee feedback across all endpoints, Nexthink helps IT teams meet the needs of the modern digital workplace.

Headquartered in Switzerland, Nexthink also has offices in France, UK, Germany, Spain, UAE, Saudi Arabia, Australia and the US. Our growing team of Nexthinkers is proud to be making the digital work lives of seven million employees across 1,000 customers more productive.

Thanks to our fantastic growth we are looking for new rock stars!

Job Description

We are looking for a Machine Learning Engineer having full-stack experience with commercial AI products and analytics. You will join our AI team and work on prototyping AI solutions, as well as maturing them to production-ready level. Because of this, your focus will be equally split between software engineering and sustainable machine learning experimentation.

 The position requires a result-oriented mindset, supported by strong experience with modern ML stacks, scalable solutions and software engineering skills. You are expected to focus on the practical usefulness and reliability of the AI solutions rather than their novelty or uniqueness. The ability to communicate complicated concepts in simple ways is vital as you will be working in a cross-functional environment.

Responsibilities

As part of the AI team at Nexthink, you will be responsible for exploring and prototyping new product features as well as solving the hard engineering problems those features entail:

  • Managing complexity, risks and benefits associated with releasing an AI-driven product feature
  • Owning and expanding the codebase for AI experiments in Python
  • Prototyping AI solutions iteratively in fast cycles of experimentation and consolidation
  • Owning the continuous integration development process with best practices, data and code versioning, experiment tracking
  • (Optional) Scrum mastery
  • Qualifications

  • 3+ years of experience in commercially applied machine learning in Big Data environments (IT, finance, business intelligence, analytics)
  • MSc in Computer Science focused on Machine Learning (PhD is a plus)
  • Strong software engineering background in Python (Java/C++ is a plus)
  • Strong experience with time-series and modern ML stacks in Python (scikit, keras, or pytorch)
  • Knowledge of basic signal processing is a plus
  • Solid understanding of basic statistics
  • Some experience with cloud software architecture: micro-services, APIs, Docker, Kubernetes.
  • Experience working in Agile environment (Scrum or Kanban)
  • Proven autonomy at extracting data and coding end-to-end AI solutions
  • Passion for building a system from the ground up; start-up experience is a plus
  • Proven independence and self-drive
  • Fluent in English, spoken and written (French is a plus)
  • Position Requirements
    Less than 1 Year work experience
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