Mindera is hiring a Machine Learning Engineer to join our team. You will work closely with the ML Architect to develop ML frameworks, an experimentation platform, and tools. We build products we are proud of using technology, in a politics-free environment that values commitment, feedback, and empathy.
What You'll Do
- Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
- Collaborate with cross-functional teams to help deploy and integrate machine learning models
- Liaise with business units for their ML needs and work on the cross-BU ML portfolio
- Optimize feature extraction, transformation, and selection
- Work with and manage Feature Stores for reusability across ML pipelines
- Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
- Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
What We're Looking For
- 5+ years of experience as a Machine Learning Engineer
- Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting
- Skilled in building predictive models (e.g., churn, user journey, sales forecasting) using behavioral data
- Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Experienced in model training, versioning, and monitoring
- Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores
- Business-oriented mindset: ability to connect model outcomes to product and strategic goals
Technical Stack
- TensorFlow, Scikit-Learn, PyTorch
- Docker, Kubernetes, Airflow
- SageMaker, MLflow
Team & Environment
You will work closely with the ML Architect in a lean, self-organizing, and collaborative environment. We encourage colleagues to take risks, make decisions, and work together, owning projects as a whole team.
Benefits & Compensation
- Health Insurance
- Flexible working hours
- Open holidays
- Profit distribution for everyone
- Mindera Annual Trip, Sports, and sharing groups
- Training & conferences, create your own training plan
- Child Care vouchers
- Choose Laptop & Peripherals that best suit your needs
- Hotspot with unlimited usage (PT)
- Wide range of snacks at offices
- Partnerships with local businesses
Work Mode
This is a hybrid role. Locations include Porto, Aveiro, and Coimbra, Portugal. Remote work is possible from Portugal or other countries, depending on location and projects.
Mindera is an equal opportunity employer.
