Job description

ML Engineer

Location :
Warsaw, Poland / Ukraine (Remote)
We are ready to offer :
  • Competitive salary based on your experience level
  • Professional and career growth opportunities
  • Opportunity to work and communicate directly with the customers
  • Your health support via gym compensation and vacation policy
  • Free English classes twice a week in the office
  • Leisure activities in the office: X-box, table tennis, cinema tickets, tea time, pizza days
  • Parking zone
About the work :

We are looking for passionate, ambitious, and excellent software engineers that want to break boundaries, move mountains and shape the future of AI.

WAND AI engineers are Kubernetes experts, develop cutting edge technologies and strive to get the best user experience and efficiency for our customers.

In this role you will take a main part in defining and developing the WAND AI platform.

About the project :

WAND AI mission is to make business-centric AI easy to use, safe, and accessible to everyone

Our platform enables business users to build and run AI applications safety, quickly, and efficiently – all codeless, self-serviced

Requirements :

 

  •  B.Sc in Mathematics/Statistics/Physics/Computer Science or a related field
  •  M.Sc. in computer science, electrical engineering, physics, or related areas from a top university. PhDs – strong advantage.
  •  5+ years as a Machine learning Engineer – advantage
  •  Strong Python background, specifical proficiency with ML libraries (Scikit-Learn, Pandas, Pytorch, TF, etc.)
  •   Practical experience with tabular data and time series.
  • Experience in Microservices architecture, cloud technologies, Docker/K8s
  • Ability to design and own a feature through all its phases
  •  Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production – advantage
  •  Experience with data pipelines / big data compute – advantage
  • Fluent English

What you’ll be doing:

  • Work closely with the software development and research teams to create efficient training schemes for deep-learning-based algorithms
  • Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies.
  • Develop machine learning and deep learning models for time series and tabular data.
Expected day-today :
  • Weekly feature review meetings – via video chat.
  • Weekly sprint planning / adjustment meetings – via video chat.
  • Daily standup meeting (Scrum style) via video chat / text chat.
  • We prefer working in weekly sprints, deploying every two weeks.
our office life

WHAT WE OFFER

  • Beautiful and comfortable offices Beautiful and
    comfortable offices
  • Convenient work schedule Convenient work
    schedule “Good morning”
  • Opportunity to manage your work time independently Opportunity to manage
    your work time independently
  • English speaking club, tea day, pizza day and many other events in office English speaking club, tea day,
    pizza day and many other events in office
  • Interesting projects and opportunity for career growth Interesting projects
    and opportunity for career growth
keep in touch
Herzliya Pituach, Israel
Kharkiv, Ukraine
Kyiv, Ukraine
Warsawa , Poland
WorkNest
1-700-555-384
contact us





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