TL;DR

Senior Machine Learning Engineer (AI Engineering): Design, develop, and deploy production-level machine learning models and AI applications with an accent on scalability, efficiency, and accuracy. Focus on building MLOps tooling, CI/CD, model governance, and reliability in collaboration with ML scientists and data engineers.

Location: Hybrid in Barcelona, Spain with relocation support

Company

%hirify_global% is a leading Chat Marketing platform trusted by over 1 million brands worldwide, with offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam.

What you will do

Design, develop, and deploy production-level machine learning models and AI applications in collaboration with ML scientists and data engineers.
Ensure scalability, efficiency, and accuracy of deployed ML and AI models.
Evaluate architecture solutions and tooling for ML systems.
Maintain clean, reproducible, and scalable ML code and pipelines.
Drive MLOps culture by standardizing best practices for CI/CD, model governance, observability, and reliability.

Requirements

Location: Hybrid work in Barcelona, Spain with relocation support
English: B2 level or higher
6+ years of experience as a Machine Learning Engineer or equivalent.
Proficiency in Python and good knowledge of SQL; additional strongly typed language is a plus.
Experience building, deploying, monitoring, and maintaining ML models in production.
Experience with cloud and data infrastructure (AWS, Snowflake, Sagemaker, Redis).
Experience with ML frameworks (PyTorch, TensorFlow), orchestration (Airflow), and containerization (Docker, Kubernetes).

Nice to have

Experience with LLM models including prompt engineering, RAG, fine tuning, and LLM ops tooling.

Culture & Benefits

Hybrid onboarding and relocation support for you and your family.
Comprehensive health insurance for employees and family.
Professional development budget for conferences and courses.
Flexible benefits package tailored to individual needs.
Hybrid work and generous leave options for work-life balance.
In-office perks including free meals and snacks.
Company-funded sports activities, annual offsites, and team-building events.