Edvantis looking for Machine Learning Engineer. Our client is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Responsibilities:

  • Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test, and assess models that predict and optimize business outcomes based on the client’s success criteria
  • Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact
  • Building a deep relationship with clients by understanding their stated but more importantly, latent needs
  • Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence
  • Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence

Requirements:

  • 2+ years experience with machine learning
  • Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, predictive analysis
  • Ability to think creatively and work well both as part of a team and as an individual contributor
  • Critical eye for the quality of data and strong desire to get it right
  • Strong communication skills
  • A pleasantly forceful personality and charismatic communication style
  • English level – Upper-Intermediate

We offer:

  • Career and professional growth
  • Сompetitive salary
  • Friendly and highly professional teams
  • Big and comfortable office, own parking area, restaurants nearby
  • Medical insurance coverage for employees (Сovid-19 included), plus an option for family insurance coverage at a corporate rate
  • Paid 12 sick leaves and all holidays
  • Paid 18 working vacation days
  • English/German language courses
  • Comfortable office facilities (kitchens, shower coffee/tea points)

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