Applied AI/ML Engineer

FutureProofing; São Paulo; Presencial; COP 52 128 000 - 104 257 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Fully remote

Flexible engagement

Resumo da oferta

FutureProofing is seeking a data science professional to help embed AI-driven features into production-ready products within fast-moving startups. You will leverage Python, ML tooling, and production data systems to deliver real AI-powered capabilities.

This is a fully remote, flexible engagement with part-time, project-based options and some US time overlap. You will collaborate closely with engineers, product teams, and founders to drive impact.

Qualificações

• 3+ years working in Data Science, Machine Learning, AI, Analytics, or related technical roles.

Responsabilidades

• Build and improve AI-native data products in startup environments.
• Work hands-on with AI models, data pipelines, and evaluation systems.
• Collaborate with engineers, product teams, and founders to ship production AI features.
• Experiment with AI-powered workflows and continuously improve model outputs.

Conhecimentos

Python

Data Science

Analytical thinking

Problem solving

AI workflows

Autonomy

Detail-oriented

Experience with AI outputs evaluation

Ferramentas

Claude

Cursor

Notebooks

Copilots

AI-assisted workflows

Descrição da oferta de emprego

Remote | Must be in LATAM | Part-Time, potential Full-Time or Side Gig

About FutureProofing

FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products.

We don’t optimize for academic exercises.

We don’t care about Kaggle-only experience.

We work at the intersection of startup execution and real AI product development.

Our data scientists help companies build and improve production AI systems — not just research experiments.

About What We Do

• 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

What We Are Looking For

• 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

• Fully remote
• 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.