Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS.
As a Middle ML Engineer at Provectus, you will design, build, and deploy production ML solutions for our clients — working independently on most tasks while growing toward senior technical ownership. You'll use AI coding tools daily, mentor junior engineers, and contribute to Provectus's internal AI toolkit.
Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS.
As a Middle ML Engineer at Provectus, you will design, build, and deploy production ML solutions for our clients — working independently on most tasks while growing toward senior technical ownership. You'll use AI coding tools daily, mentor junior engineers, and contribute to Provectus's internal AI toolkit.
Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS.
As a Middle ML Engineer at Provectus, you will design, build, and deploy production ML solutions for our clients — working independently on most tasks while growing toward senior technical ownership. You'll use AI coding tools daily, mentor junior engineers, and contribute to Provectus's internal AI toolkit.
What You'll Do: Build & Ship ML (55%)
Design and deliver ML pipelines from experimentation to production;
Build and optimize models — supervised, unsupervised, and generative AI;
Write clean, tested, modular Python code;
Deploy and monitor models; track performance and prevent drift;
Contribute to LLM applications: RAG systems and agent workflows;
Use AI coding tools on every task to move faster and write better code.
Agentic & AI-Assisted Engineering (20%)
Use Claude Code or similar AI tools to deliver client projects;
Build with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar);
Integrate or build MCP servers for internal and client use;
Contribute features, bug fixes, or docs to the Provectus AI toolkit.
Collaborate & Mentor (15%)
Mentor junior engineers and give actionable code review feedback;
Work closely with DevOps, Data Engineering, and Solutions Architects;
Share knowledge through docs, presentations, or internal workshops.
Learn & Innovate (10%)
Stay current with ML research, GenAI, and agentic frameworks;
Propose process improvements and reusable ML accelerators;
Participate in architectural design and trade-off discussions.
What You Need: Machine Learning
Solid grasp of supervised/unsupervised ML: algorithms, evaluation, trade-offs;
Deep learning hands-on experience: CNNs, RNNs, Transformers — training and fine-tuning;
Depth in at least one domain: NLP, Computer Vision, Recommendation, or Time Series.
LLMs & Generative AI
Experience building LLM apps with OpenAI, Anthropic, or Hugging Face APIs;