Job description

ML Engineer

Location :
Ukraine (Remote) / Poland (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
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 engineers are true experts in their fields, develop cutting edge technologies, and strive to get the best user experience and efficiency for our customers.

Requirements :


  • 5+ years industrial experience with ML, including training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production.
  • Proven experience with modern DL techniques and Gradient Boosting Trees.
  • Excellent Python coding skills.
  • Proficiency with ML libraries (Tensorflow, Pytorch, LightGBM, Scikit-learn)
  • Vast practical experience with tabular data and time series.
  • Experience in Microservices architecture, cloud technologies, Docker, Kubernetes.
  • Fluent English
As an advantage :
  • M.Sc. in computer science with a thesis in ML. PhD – advantage.
  • Experience with ML “understanding” techniques: explainability, confidence, drift, etc – big advantage.
  • Experience designing and implementing AutoML flows/frameworks – big advantage.
  • Experience with data pipelines / big data – advantage.
Expectations :
  • Own, design, and develop Wand AI ML pipelines: be responsible for efficient models training, testing, deployment, and monitoring.
  • Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies.
  • Develop machine learning and deep learning models for tabular data (later: time series, NLP, CV, etc.).
  • Learn and Implement cutting-edge ML algorithms.
  • Create and automate data pipelines including data extraction, validation & anomaly detection, indexing, and other data-related tasks.
  • Follow your project from ideation to implementation.
  • Contribute to a wide variety of projects using a range of technologies and tools.
our office life


  •  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

    contact us