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.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
Machine Learning Practice Leader – Engineering Manager
Job not on LinkedIn
November 7
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.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
📋 Description
• Build, lead, and mentor high-performing ML teams • Recruit, onboard, and coach new team members • Set objectives, conduct performance reviews, and drive career growth • Evaluate and improve delivery processes, ensuring consistency across projects • Collaborate with other managers and senior stakeholders across the company • Identify skill gaps, arrange training, and foster a culture of continuous learning • Ensure alignment with the company’s mission, vision, and values • Represent the company at conferences, meetups, and community events
🎯 Requirements
• Deep understanding of **Python best practices** and ML design patterns • Proven experience across the **full ML lifecycle**: data preparation, model training, validation, deployment, and monitoring • Experience with **deep learning model development** and **transformer architectures** • Strong background in one or more domains: **NLP, Computer Vision, Forecasting, Recommender Systems** • Expertise in **agentic workflows**, **RAG**, and **GraphRAG** architectures • Practical experience with **AWS** or other cloud/open-source MLOps platforms • Hands-on experience with **model post-production**: monitoring, retraining automation, and maintenance • Familiarity with diverse **data sources** (OLTP, OLAP, DataLake, Streaming) • Experience in **DataOps** or **MLOps** is a strong advantage
🏖️ Benefits
• Attractive annual bonus based on performance • Long-term B2B collaboration • Fully remote setup • Comprehensive private medical insurance or budget for your medical needs. • Paid sick leave, vacation, and public holidays • Continuous learning support, including unlimited AWS certification sponsorship
Apply Now