You’re passionate about productionizing ML models and building LLM-powered features at scale?

We have an exciting opportunity for one of our clients — a fast-growing tech company building AI-native products across fintech and e-commerce operations in emerging markets.

Why this role: You’ll work directly with the Head of AI on roadmap delivery — building and shipping real ML and LLM features in production. This is not a research role — it’s hands-on AI engineering where your work ships to users from day one.

About Talio Talent: Talio Talent is an international recruitment and talent placement hub, specialized in senior tech profiles. We connect professionals with international companies through:

* Rigorous selection
* Intelligent matching
* Personalized support

What you’ll do:

* Build, deploy, and monitor ML models in production
* Build LLM-powered features — support automation, ops agents, document parsing
* Set up evaluation pipelines and online monitoring
* Partner with the Head of AI on roadmap delivery
* Partner with backend teams on model serving infrastructure

Requirements: Must-have — applications without these will not be considered.

* 4+ years of ML / AI Engineering experience — mandatory
* Strong Python — mandatory
* PyTorch or TensorFlow — mandatory
* Experience deploying models to production (FastAPI, SageMaker, Modal, or similar) — mandatory
* Hands-on experience with LLMs: RAG, function calling, agents, evals — mandatory
* Fluent English — mandatory

Strong pluses:

* MLOps tooling (MLflow, Weights & Biases)
* Computer vision experience
* Vector databases experience

Key soft skills:

* Strong problem-solving mindset
* Autonomous and comfortable working remotely
* Collaborative with cross-functional teams
* Passionate about shipping AI features that reach real users

What we offer:

* Full remote position
* Work directly with the Head of AI
* Fast-moving, product-oriented AI environment
* International and multicultural team

Full Remote

Start ASAP