Design and implement ML pipelines from experimentation to production with limited supervision
Build, evaluate, and optimize models across supervised, unsupervised, and generative AI tasks
Develop and maintain production-grade Python code: modular, tested, and well-documented
Set up reproducible experimentation environments and maintain experiment pipelines
Deploy and monitor ML models in production, ensuring stability and performance
Actively contribute to LLM-based applications, including RAG systems and agent workflows
Leverage AI-assisted development tools to increase velocity and code quality on all tasks
Claude Ecosystem Integration: practical use of Claude Code or the Claude Agent SDK to deliver high-quality greenfield customer engagements
Transform existing brownfield projects into AI-friendly setups
Active usage of the Provectus AI toolkit in daily workflows
Internal Contributions: contribute back to the Provectus AI toolkit, developing specific agents, building MCP servers, submitting bug fixes, adding features, or improving documentation
Mentor and support junior ML engineers on technical tasks, code quality, and best practices
Conduct meaningful code reviews with constructive, actionable feedback
Collaborate with cross-functional teams: DevOps, Data Engineering, Solutions Architects
Stay current with ML research and emerging frameworks, especially in GenAI and agentic AI

Requirements

Demonstrated competency equivalent to 1-3 years of hands-on ML engineering experience
Track record of deploying at least one ML model to a production or production-like environment
Experience working on team-based or client-facing projects (not solely academic or solo)
Demonstrated proficiency with AI-assisted development tools and agentic frameworks
Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or related field
Equivalent self-taught expertise with a demonstrable production or near-production project history
Bootcamp or certification with significant practical ML engineering experience
Experience working in consulting or client-facing environments
Previous experience in distributed or remote international teams
Contributions to technical blogs, conference talks, or open-source
Published work on agentic systems or AI tooling

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonML pipelinesmodel evaluationsupervised learningunsupervised learninggenerative AIAI-assisted development toolsClaude Codeagent workflows

Soft Skills

mentoringcode reviewscollaborationconstructive feedbackteamworkcommunication

Certifications

Bachelor's degreeMaster's degreebootcamp certification