Jobs at Provectus

The role involves developing Python services and LLM features, building RESTful APIs, optimizing Python code, and collaborating with ML engineers and product managers. You'll stay updated with AI technologies and propose innovative solutions.

As a Data/ML Solution Architect, you will design and implement cloud-based and on-premise ML architectures, lead customer engagements, ensure security and compliance, and mentor technical teams.

Build and maintain scalable Python back-end services and RESTful APIs, implement chatbot and RAG/LLM features, optimize performance, collaborate with ML engineers, write tests and documentation, and leverage AWS, Docker, and Kubernetes to deliver production AI-driven products.

The ML Tech Lead will guide the ML engineering team in technical decisions and mentorship, ensuring code quality and facilitating growth in ML competencies while maintaining hands-on coding involvement.

As a Machine Learning Solution Architect, design scalable data architectures, lead complex customer engagements, manage technical risks, and mentor teams, focusing on AI/ML solutions in cloud environments.

Design and implement cloud-native AI solutions, build relationships with clients, and optimize AI systems. Mentor others and lead architecture decisions.

Design and deliver production-grade cloud-native LLM and agentic AI solutions: implement RAG, deploy and monitor models, build Python backends and ETL pipelines, lead architecture and presales activities, and mentor engineering teams.

As an ML Solutions Architect, lead technical discussions, design ML architectures, ensure scalability and feasibility, and build client relations. Responsible for architecting solutions using generative AI and overseeing project execution.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.

Design and implement end-to-end ML solutions, mentor junior engineers, optimize model performance, and stay updated on ML technologies and methodologies.

As a Senior Solution Owner, you will lead AI and data solution strategies, oversee AI/ML product lifecycles, guide data migrations, and collaborate with cross-functional teams to ensure successful delivery and innovation.

As an AI/ML Solutions Architect, lead pre-sales discussions, design ML architectures, ensure client satisfaction, and guide technical teams while collaborating on ML solutions.

The Senior ML Engineer will create and improve ML models, collaborate with teams, monitor models in production, and maintain documentation.

The role involves creating and improving ML models, collaborating with teams, developing experimentation roadmaps, and ensuring optimal performance of production models.

Design and implement ML solutions, build scalable pipelines, mentor engineers, collaborate on projects, and contribute to ML practices. Stay updated on ML research and propose improvements.

The role involves technical leadership, mentorship, and hands-on work in machine learning projects, ensuring architectural soundness, mentoring engineers, and advanced coding practices.

Lead AI product strategy and execution, manage data migration initiatives, oversee Agile processes, and collaborate with stakeholders to drive product success.

The Senior Solution Manager leads product strategy for AI solutions, oversees data migration initiatives, and collaborates with teams on AI architecture and product delivery.

Design, develop, and deploy machine learning solutions iteratively, mentor junior engineers, and build ML accelerators for Provectus clients.

Lead the development of Python services and Generative AI solutions, while mentoring engineers and managing client engagements from discovery to delivery.