— No less than 2 years in ML development;
— Strong technical skills regarding data analysis, statistics and programming;
— Working experience in using Python and/or C++;
— Experience with DNN frameworks as PyTorch, or TensorFlow
— Knowledge of machine learning and deep learning technologies.
— Research mindset and math-oriented intelligence;
— Good technical written and spoken English.
— Ability to work on an AWS stack;
— Familiarity with Linux/Unix/Shell environments
— 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;
— Designing and implementation of ML models and solutions;
— Developing best machine learning pipelines and proof-of-concept prototypes for a variety of use cases;
— Creating API endpoints and wrapping models into Docker containers.
Sciforce is looking for an experienced Machine Learning Engineer to strengthen our ML experts team. You will be a part of a cross-functional team focused on product innovations and new technologies in such areas as speech processing, nlp, computer vision, anomaly detection/prediction, data science.