SciForce is looking for a Machine Learning Engineer to strengthen our ML experts team.
You will be part of a cross-functional team working on product innovations and new technologies across speech processing, NLP, computer vision, anomaly detection and prediction, and data science.
Responsibilities: — Designing and implementation of ML models and solutions; — Developing best machine learning pipelines and proof-of-concept prototypes for a variety of use cases; — Analyze data and experiment with different ML approaches; — Creating API endpoints and wrapping models into Docker containers; — Participate in technical discussions and contribute to the development of ML solutions.
Required Skills: — 2+ years experience in ML development; — Strong technical skills in data analysis, statistics, and programming; — Solid experience with Python and its data science ecosystem; — Hands-on experience with PyTorch, TensorFlow, or similar deep learning frameworks — Knowledge of machine learning and deep learning technologies. — Research mindset and math-oriented intelligence; — Good technical written and spoken English.
Will be a plus: — Experience with AWS or other cloud platforms; — Familiarity with Linux/Unix/Shell environments.
We offer: — Transparent communication between the company and employees; — 20 business days of paid vacation and paid sick leave; — Opportunity to work on advanced, innovative enterprise projects; — Accounting as a service; — Competitive salary; — Language classes. * lease note that our team will carefully review your application and contact you if your qualifications match the requirements of the role. If you are not selected for this position, your CV will remain in our database for future opportunities.
