Provectus
Artificial Intelligence ⢠SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
Senior ML/AI Engineer
Job not on LinkedIn
August 21
Provectus
Artificial Intelligence ⢠SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
đ Description
⢠Create ML models from scratch or improve existing models. ⢠Create ML/AI pipelines that include custom models or APIs as part of the processing. ⢠Collaborate with the engineering team, data scientists, and product managers on production models. ⢠Develop experimentation roadmap. ⢠Set up a reproducible experimentation environment and maintain experimentation pipelines. ⢠Monitor and maintain ML models in production to ensure optimal performance. ⢠Write clear and comprehensive documentation for ML models, processes, and pipelines.
đŻ 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: orchestrating workflows, monitoring metrics. ⢠Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. ⢠Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts). ⢠Python expertise, Docker. ⢠Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECS, EMR/Glue, S3, Lambda, SQS). ⢠English level - Upper Intermediate. ⢠Excellent communication and problem-solving skills.
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