Want to apply AI to real projects with direct business impact, instead of just POCs that never reach production?
We are looking for a Senior Artificial Intelligence / Machine Learning Engineer to lead cutting-edge solutions in a modern, data-driven, 100% remote environment.
You will be part of a small, autonomous team with direct contact with product and the freedom to propose architectures and technologies.
Design, train, and put ML/Deep Learning models into production.
Build data and MLOps pipelines (training, versioning, monitoring).
Work side by side with Product and Engineering to understand problems and metrics.
Rapidly prototype and evolve solutions into scalable production systems.
Optimize model performance, cost, and quality in the cloud.
Drive AI engineering best practices within the team (code review, standards, testing).
Explore and apply LLMs, NLP, and generative models where appropriate.

Solid experience as a Senior AI / ML Engineer.
Proficiency in Python and main ML/Deep Learning libraries (e.g., scikit-learn, PyTorch or TensorFlow).
Experience deploying models to production (APIs, monitoring, logging, retraining).
Experience with cloud platforms (AWS, GCP, or Azure) and managed data/ML services.
Knowledge of MLOps (CI/CD, pipelines, data/model versioning).
Strong foundation in statistics, machine learning, and data structures.
Clear communication skills with both technical teams and business stakeholders.
Plus: Experience with LLMs, NLP, and generative models (OpenAI, Hugging Face, etc.).
Previous experience in startups or high-scale digital products.
Experience with data lake/warehouse architectures and streaming.
Contributions to the community (papers, talks, open source, blogs).

Work 100% remotely, with flexible hours and a focus on deliverables rather than time tracking.
Real technical autonomy, participation in architecture decisions, and direct access to leadership.
We invest in continuous development (courses, conferences, certifications) and promote a collaborative, transparent, low-bureaucracy environment.
Competitive compensation on a contractor (PJ) basis, with potential variable pay tied to results and room to grow with the product.

Senior AI – Machine Learning Engineer

Key skills