
501 - 1000 employees
Founded 2012
đ¤ Artificial Intelligence
âď¸ SaaS
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 May 28
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501 - 1000 employees
Founded 2012
đ¤ Artificial Intelligence
âď¸ SaaS
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.
⢠Create ML models from scratch or improve existing models. ⢠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. ⢠Stay updated with the latest developments in ML and AI and propose innovative solutions.
⢠Comfortable with standard ML algorithms and underlying math. ⢠Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems ⢠AWS Bedrock experience strongly preferred ⢠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, LLMs, and Recommendation engines. ⢠Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts). ⢠Python expertise, Docker. ⢠English level - strong upper- intermediate. ⢠Excellent communication and problem-solving skills.
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