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