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Jobs(27,166)/Data Scientist Role(240)/Futureproofing (1) - Applied AI/ML Engineer
Futureproofing

Futureproofing - Applied AI/ML Engineer

Remote - LATAM5mo ago
RemoteMidLATAMFintechBiotechnologyData ScientistML EngineerAI EngineerPythonClaudeCursor

Requirements

• 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 • Work Setup • Flexible engagement: part-time, project-based, or side gig • Flexible schedules with some US time overlap • What Makes FutureProofing Different • We train in applied AI when needed (LLMs, evaluation systems, AI workflows, real MVP velocity) • We cover 100% of the training cost • We match intentionally, not through keyword filtering • We embed talent directly into startup teams • We focus on output, ownership, and execution speed • Builder-first model — we optimize for people creating real impact, not for volume • Continuous learning path with optional certifications aligned to your growth • You’re not competing with thousands of applicants. • You’re introduced intentionally — once you’re ready.

Responsibilities

• Build and improve AI-native products and data-driven systems • Work hands-on with LLMs, structured/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 tools like 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

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