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ProvectusProvectus 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 integral enterprises in partnership with Anthropic, Cohere, and AWS.Middle ML EngineerAs 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 DoBuild & Ship ML (55%)Design and deliver ML pipelines from experimentation to productionBuild and optimize models — supervised, unsupervised, and generative AIWrite clean, tested, modular Python codeDeploy and monitor models; track performance and prevent driftContribute to LLM applications:



RAG systems and agent workflowsUse AI coding tools on every task to move faster and write better codeAgentic & AI‐Assisted Engineering (20%)Use Claude Code or similar AI tools to deliver client projectsBuild with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar)Integrate or build MCP servers for internal and client useContribute features, bug fixes, or docs to the Provectus AI toolkitCollaborate & Mentor (15%)Mentor junior engineers and give actionable code review feedbackWork closely with DevOps, Data Engineering, and Solutions ArchitectsShare knowledge through docs, presentations, or internal workshopsLearn & Innovate (10%)Stay current with ML research, GenAI, and agentic frameworksPropose process improvements and reusable ML acceleratorsParticipate in architectural design and trade‐off discussionsWhat You NeedMachine Learning: solid grasp of supervised/unsupervised ML: algorithms, evaluation, trade‐offsDeep learning hands‐on experience: CNNs, RNNs, Transformers — training and fine‐tuningDepth in at least one domain:
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📌 Middle Ai/Ml Engineer (Bogotá)
🏢 Provectus
📍 Bogotá