
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.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
November 14

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.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
• 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 Intermediate. • Excellent communication and problem-solving skills.
Apply NowNovember 10
AI Engineer developing AI-driven solutions at OBRIO, a company focused on enhancing relationships. Collaborate with teams on projects related to marketing, support, and risk management.
September 22
501 - 1000
Lead engineers at CommIT to design, deploy, and optimize production-grade Generative AI and RAG systems across .NET, Python, and Azure.
September 7
501 - 1000
Generative AI Engineer building LLM applications, backend (.NET/Python), RAG pipelines and observability at CommIT
August 14
MLOps Engineer for LLM infrastructure at Kyivstar.Tech. Designs scalable ML infra and deployment pipelines; collaborates with data scientists and ML engineers.
August 4
Hire ML Engineer to build production-ready machine learning solutions for The Playa's iGaming platform.