With our team of key ML Engineers perform a client-facing role in AI consulting;
Create ML models from scratch or improve existing models;
Collaborate with the engineering team, data scientists, and product managers to productionize models;
Develop experimentation roadmap;
Setup reproducible experimentation environment and implement experimentation pipelines.
Comfortable with standard ML algorithms and underlying math;
Practical experience with solving classification and regression tasks in general, feature engineering;
Practical experience with ML models in production;
Practical experience with one or more use cases from the following: NLP, Computer Vision, Forecasting, Recommendation engines;
Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts);
Python expertise, Docker;
Al least strong Intermediate English level.
Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda);
Practical experience with deep learning models;
Practical experience with machine learning pipelines to orchestrate complicated workflows;
Practical experience with Spark/Dask, Great Expectations.
Opportunity to grow as an Architect;
Opportunity to create solutions in different ML areas;
Attractive professional and educational opportunities, a competitive salary, and fun colleagues who make every online and offline event a treat.