Applied AI/ML Engineer

🕒 May 28

🇵🇪 Peru – Remote

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 85%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Futureproofing

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Futureproofing is a B2B talent placement firm that provides senior, production-ready AI engineers from LATAM to startups and companies. The company pre-vets the top 1% of candidates through a multi-stage assessment and matches clients with engineers who can integrate directly into their codebases and sprint cadence. They offer predictable, fixed pricing, rapid matching (2–3 profiles in 48 hours), and flexible contracts to reduce hiring time and cost for AI-native product development (LLMs, RAG systems, multi-agent architectures).

📋 Description

• Build and improve AI-native products and data-driven systems • Work hands-on with LLMs, structured and unstructured data, APIs, and modern ML workflows • Rapidly prototype and iterate on AI-powered features • Analyze, evaluate, and improve model outputs and system reliability • Work closely with engineers, product teams, and founders in fast-moving startup environments • Use Claude, Cursor, notebooks, copilots, and AI-assisted workflows daily • Help shape data pipelines, evaluation systems, experimentation workflows, and production AI features • Contribute to AI-powered products across fintech, biotech, infrastructure, and next-generation startups

🎯 Requirements

• Must be based in LATAM • 3+ years working in Data Science, Machine Learning, AI, Analytics, or related technical roles • Strong Python skills and comfort working with modern data/ML tooling • Experience working with production data systems, AI workflows, or model-driven applications • Comfortable handling ambiguity and building in fast-moving startup environments • Strong analytical and problem-solving mindset • Experience evaluating model quality, experimentation, or AI outputs • Already experimenting with or deploying AI-powered workflows or products • Energized by AI and actively using AI tools in your workflow • Autonomous, detail-oriented, and highly resourceful • Some US time overlap required • Ability to work part-time, project-based, or side gig engagements

🏖️ Benefits

• 100% of training costs covered • Optional certifications aligned to your growth • Continuous learning path • Flexible engagement: part-time, project-based, or side gig • Flexible schedules with some US time overlap • Fully remote work