Middle/Senior Machine Learning Engineer (offline) $4000-5000
Our Customer:
Offers a vehicle health management solution that predicts and prevents failures, detects malfunctions and performance degradation, and yields actionable insights based on deep root-cause analysis.
Required experience and skills:
3+ years professional experience in Machine Learning;
Industry experience in development and deployment Machine Learning based models to production;
Proficiency with machine learning frameworks like PyTorch / Keras and libraries such as scikit-learn and pandas;
Professional data engineering experience focused on batch data pipelines development using Spark and Python;
Familiarity with Azure Databricks platform is preferred;
English – Upper Intermediate +.
Would be a plus:
Proficiency with Deep Learning algorithms and packages;
Experience with Bayesian networks;
Solid Computer Science skills in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
Working conditions:
5-day working week, 8-hour working day, flexible schedule;
All UA public holidays are days off;
Vacation and sick leave are covered by the company;
Health care program (activated after the probation period);
Office in the city center;
English classes.
The job ad is no longer active
Job unpublished on
27 September 2021
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