Machine Learning Engineer (CV & Time series analysis)

What you will do

• Develop CV algorithms for real time defects inspection.
• Develop innovative machine learning algorithms for time series analysis, generated by.
• Industrial sensors.
• Analyse algorithm performance bottlenecks and propose solutions for improvement and.
• Optimization.
• Prepare new algorithms for deployment and support deployment to production.
• Monitor algorithms metrics, statistics and performance.
• Work in a team and collaborate with other colleagues to contribute into common knowledge.
• Base.
• Manage individual project priorities, deadlines and deliverables.

Job Requirements

• Strong mathematical background in Сomputer Vision, Machine Learning and Deep Learning.
• Over 2 years of work experience in Machine Learning.
• Understand the principles of computer science algorithms and data structures, familiar with.
• Mathematical computing, including but not limited to statistical models, matrix calculation.
• Methods, machine learning algorithm principles, and deep learning algorithm principles.
• Grasp the cutting-edge technology and development trends in the machine learning algorithm.
• Areas which you are responsible for.
• Solid understanding of anomaly detection, image and signals processing and analysis.
• Classification, segmentation, captioning, in-painting, generation, etc.).
• Good coding skills in Python.
• Practical knowledge of ML/DL frameworks (Scikit, PyData stack, PyTorch, etc.).
• Familiar with high-performance and concurrent programming.
• Ability to postulate and verify research hypotheses, explain and present results.
• BA, MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related.
• Technical field.
• English – proficiency.

Nice to have:

• Experience in analysis of time series.
• Experience in CV.
• Experience in data science for industrial fields.
• Experience in scientific papers implementation.
• Experience in reinforcement learning / GANs.
• Development skills in C++.
• Good communication and interpersonal skills.

What they offer

• Work with a globally leading machine learning team which addresses challenges of the.
• Industrial area.
• Write scientific papers and participate in thematic conferences.
• Attractive equity package as an early employee.
• Office Location – 10 minutes walk from Sportivnaya Underground Station (Moscow).