changing lives.
In this role, you will…
As a Senior ML Engineer, you will have the following responsibilities:
· Decompose poorly formulated business requests into individual technical problems and identify a specific set of ML tools to solve each problem
· Collaborate with the development team to develop the architecture of proposed solutions and support the integration of the model into the production pipeline
· Own, maintain, and improve a specific ML component
In this role, you’ll need …
· A Bachelor's degree in a technical field such as computer science, statistics, data analysis, or equivalent experience
· A strong understanding of machine learning and deep learning approaches and algorithms, as well as an understanding of their limitations
· Experience working with machine learning frameworks such as PyTorch
· A mathematical background in statistics, probability theory, optimization methods, linear algebra, analytic geometry, and graph theory
· Upper-intermediate English proficiency
It would be great if you ...
· Have participated in various open competitions for data analysis (such as Kaggle)
· Have designed and implemented machine learning systems for process automation and achieved measurable results from their implementation
· Are inclined to document your work and can describe and critically evaluate the results of conducted experiments
· Have experience in 3D ML problems (such as point clouds, meshes, and graphs) and NLP
· Have strong interpersonal, oral, written, and visual communication skills and can present findings concisely and effectively
Technological stack:
· Python, PyTorch, plotly
· Docker, AWS S3, EC2
· Git/Bitbucket, Bamboo
· Mlflow
· MONAI, MinkowskiEngine
