Belitsoft > LAUNCH YOUR CAREER > Machine Learning Engineer (Python)

Machine Learning Engineer (Python)

Responsibilities:

  • 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.

Requirements:

  • MSc or PhD in computer sciences, mathematics, or physics
  • 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.

Good to have:

  • Experience with data pipelines / big data;
  • Experience with ML “understanding” techniques: explainability, confidence, drift, etc;
  • Experience designing and implementing AutoML flows/frameworks.

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Belitsoft. Software Development Company

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