Njuškalo is the largest Croatian marketplace with more than 1.1 million active users. We provide our users a simple and intuitive platform for buying and selling, and our employees with a pleasant business environment, a rich source of knowledge and the opportunity for growth and development. Our culture has been recognized with a Great Place To Work certificate that we obtained for the third year in a row.
We're looking for a Senior ML Engineer who can own machine learning from start to finish, from the first signal all the way to a model running reliably in production. This is a role for someone who is passionate about data and driven by turning messy, large-scale data into models that change how millions of people use a product.
You will be a part of our in-house self-sufficient Data Science team that builds production ML models to make Njuškalo better for every user across our marketplace ecosystem. It's a hands-on role with a lot of ownership, plenty of room to shape the technical direction, and to mentor others along the way.
About the role
As a Senior ML Engineer, you will design and implement services based on machine learning and deploy them to production. Through collaboration with other teams, you will discover new opportunities for ML applications in internal processes or as features for our end-users. You will advise us on data acquisition and provide business insights based on existing data.
Your responsibilities will include:
- Utilizing huge amounts of both structured and unstructured (image and text) data
- Building tangible machine learning models to ensure the best possible user experience on marketplace platforms
- Making models usable by serving them in a cloud production environment at scale
- Iteratively improving and maintaining predictive models
- Continuously improve model accuracy through performance tracking, new data integration, user-behaviour insights, and additional vertical integrations.
- Research, experiment with and implement state-of-the-art models and techniques.
- Communication with other teams and vendors in creating new products
- Document the solutions you build, review other ML engineers' code, and mentor junior and mid-level engineers on the team.
Our tech stack
Python · PyTorch · MLflow · FastAPI · PostgreSQL · Clickhouse · Elasticsearch & Kibana · Docker & docker-compose · Airflow · dbt · GitLab CI/CD · Linux · AWS · Terraform · Sentry
You're the perfect candidate for us if you have:
- 5+ years of machine learning engineering experience.
- Knowledge of machine learning techniques, including deep learning models for computer vision and/or NLP.
- Strong programming skills and advanced command of the frameworks, libraries and databases you work with (PyTorch, TensorFlow, Keras).
- Advanced knowledge of mathematics and statistics.
- Proficiency with SQL for writing efficient queries.
- Hands-on experience building and testing microservices.
- Working knowledge of Linux-based systems and Docker.
- Basic understanding of cloud technologies (AWS).
- Strong problem-solving skills and clear communication.
- A reliable team player who enjoys mentoring.
- Well organised, proactive, and able to manage your own time and priorities.
What do we offer?
- Hybrid work possibilities after onboarding period
- Co-financed Multisport card
- Annual medical check-ups
- Benefits for parents (financial support after your baby is born, 4-hour work day for mothers in the first month after parental leave)
- Day off for your birthday and other life milestones
- Equipment suitable for all your needs
- Dog-friendly offices for your furry friends
- 22-30 vacation days (depending on tenure and age)
Ready to Make an Impact?
If you're excited about shaping products used by millions of users, we'd love to hear from you.
Apply today!