— No less than 2 years in ML development;
— Experience with Docker;
— Working experience in using Python;
— Research mindset and math-oriented intelligence;
— Good technical written and spoken English.
— A degree in Computer Science or Mathematics, or similar field or equivalent experience
— Some experience in forecasting, time-series, reinforcement learning;
— Familiarity with NLP system.
— Transparency in communication between the company and an employee;
— Paid vacation (20 business days) and paid sick leave;
— Opportunity to join advanced, innovative projects;
— Accounting as a service;
— Competitive salary;
— Friendly working environment;
— Language classes;
Creating ML- pipelines:
— Data preprocessing pipelines and AutoML (h2o and tpot).
— Developing infrastructure of new pipelines on a base of Celery (Distributed; Task Queue)
— Generative explorative reports for impute data;
Sciforce is looking for an experienced Machine Learning Engineer to strengthen our ML experts team. You’ll have a chance to work on the novice concept. You will be focused on delivering new features to AutoML framework.