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)

Um sich für diese Stelle zu bewerben, füllen Sie bitte das Formular aus und laden Sie Ihren Lebenslauf hoch

    Das ist ein Pflichtfeld
    Das ist ein Pflichtfeld
    Das ist ein Pflichtfeld
    Das ist ein Pflichtfeld
    Die Telefonnummer ist ungültig