Senior Machine Learning Engineer in Radency

Senior Machine Learning Engineer

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Radency is looking for a Senior Machine Learning Engineer for the American healthcare platform.

👉 ML Engineer will work on the design, development and deployment of the ML model responsible for staffing in medical facilities

👉 Tech stack: Python, TensorFlow, PyTorch, Docker, Kubernetes, AWS, PostgreSQL

Main tasks of the position:

• Design, development and training of ML models for solving complex problems
• Analysis and pre-processing of large data sets
• Implementation of ML algorithms using Python and relevant libraries
• Deployment of ML models using Docker, Kubernetes and AWS
• li> Writing documentation, communicating with data scientists and engineers, implementing the latest technologies and optimizing existing systems

Expectations from an engineer:

< li>5+ years of ML, data mining experience
• Solid experience with Python and ML libraries: Scikit-learn/TensorFlow
• Solid understanding of ML algorithms and statistical methods
• Experience with data preprocessing techniques and tools: Pandas/NumPy
• Experience with PostgreSQL
• At least Upper-Intermediate English.

Will be a plus:

• Experience with timeseries modeling
• Experience with deep learning frameworks: PyTorch/ Keras
• Experience with AWS (Docker, Kubernetes)

What Radency offers:

✔️ Budgets for education, health and sports - $750 per year.

✔️ 20 days off time, 10 public holidays and unlimited juice left.

✔️ Remote-first work format.

🇺🇦 We do not work with Russian and Belarusian customers and engineers.