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Machine Learning Engineer

We're hiring a Machine Learning Engineer


You’ll join a cross-functional team to build and scale cloud-native services using ML and deep learning. This includes collaborating closely with ML & Data Engineers, managers and product owners to research, develop, test, and deploy models and solutions with real impact in a platform with 1M + monthly users. 


What you’ll be doing:

  • Design and deploy ML models to solve real-world problems. Dive into information retrieval, recommendation systems, image generation and more

  • Collaborate with backend and frontend teams to integrate ML models into production systems

  • Write clean, scalable, and testable code following software engineering best practices

  • Analyze large volumes of data from multiple sources and extract actionable insights

  • Take full ownership of projects from ideation to implementation


🔍 What we’re looking for:

  • Over 3 years of experience in software machine learning development roles

  • Solid ML foundations

  • Strong programming skills in Python

  • Experience with deep learning frameworks like PyTorch or TensorFlow

  • Experience working with cloud computing providers and ML-related tools. AWS preferred

  • Familiarity with containerization tools (Docker)

  • Knowledge of software engineering principles (CI/CD, testing, version control, etc.)

  • Advanced level of English, both written and spoken

  • Strong problem-solving and communication skills


💡 Bonus points if you:

  • Have experience with search and recommendation systems

  • Data Engineering experience

  • Experience in CV, NLP and Data Science

  • Have deployed models into production environments

  • Interest in the latest ML trends and research


What we offer:


🌱 Professional Growth & Learning

  • Ongoing technical training and Machine Learning meetups 

  • Knowledge-sharing sessions to keep learning from each other

  • Clear career paths — semestral feedback instances to support your growth throughout the journey


✈️ Perks & Culture

  • Biannual performance bonuses to reward your contributions

  • Opportunities to travel while working to strengthen collaboration with clients and teams

  • Occasional after-office gatherings

  • An amazing team of smart, friendly people

🧘 Work-Life Balance

  • Hybrid work model and flexible working hours

  • Extra vacation days during your first year with us

  • Paid study leave from day one

  • Birthday day off

  • National public holidays — around 12 days off annually

🏃 Health & Wellness

  • Access to sports and recreational activities with Pase Libre

  • A comfortable and fully equipped office space for focused work

Remote