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. 

• 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

• 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

• 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

• 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

• 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

• 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

• Access to sports and recreational activities with Pase Libre

• A comfortable and fully equipped office space for focused work