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Middle/Senior ML Engineer in Provectus

Posted more than 30 days ago

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Provectus

Provectus

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Without experience
Full-time work
Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.As an ML Engineer, you’ll be provided with all opportunities for development and growth.Let's work together to build a better future for everyone! Requirements:Comfortable wit
Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.As an ML Engineer, you’ll be provided with all opportunities for development and growth.Let's work together to build a better future for everyone! Requirements: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: CV, NLP, GenAI, LLM, Forecasting, Recommendation engines;Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts);Python expertise, Docker;English level - strong intermediateWill be a plus: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 ExpectationsResponsibilities:Create ML models from scratch or improve existing models; Collaborate with the engineering team, data scientists, and product managers to production models; Develop experimentation roadmap; Set up a reproducible experimentation environment and implement experimentation pipelines Show more Show less Посадовий рівень Не застосовується Тип зайнятості Повний робочий день Посадові обов’язки Фінанси і Консалтинг Галузі Фінансові послуги і Лікарні та охорона здоров’я
Without experience
Full-time work
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