Machine Learning Engineer
Overview
Machine Learning Engineer role at login. works. Our client is a global leader and
- growing data science powerhouse committed to excellence in transforming complex data into actionable insights. With a diverse team of experts from around the world, they strive to be the foremost partner in advanced analytics, predictive modeling, and digital transformation, empowering organizations to achieve breakthrough performance and a competitive edge.
This role blends deep technical expertise with innovation, contributing directly to R&D efforts while developing scalable, intelligent systems using both traditional and
-
-
- art machine learning techniques, including Large Language Models (LLMs).
Responsibilities
- Design, build, and maintain scalable ML pipelines from feature engineering to production deployment and monitoring.
- Collaborate with Data Scientists to transition models from experimentation to production, ensuring system performance and reliability.
- Lead or support R&D initiatives applying innovative ML techniques, including LLMs, to solve
- world challenges. - Contribute to the design and implementation of database architectures supporting scalable ML workflows.
- Work within the E-commerce vertical, powering personalized, intelligent, and
- performing AI solutions. - Help develop the foundations of a Vertical AI platform, combining
- edge ML techniques with robust software design. - Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for ML systems.
- Participate in technical discussions, architecture design, and code reviews, contributing to
- level decisions.
Profile sought
Education
Master’s or Ph
D in Computer Science, Artificial Intelligence, Data Science, or a related field.
Technical Skills
- 3+ years of experience developing and deploying ML systems in production environments.
- Strong proficiency in Python and experience with ML libraries such as
- learn, XGBoost, Py
Torch, or Tensor
Flow. - Experience designing and managing relational (e. g. , Postgre
SQL),
- based (e. g. , Mongo
DB), and
- based (e. g. , Neo4j) databases. - Previous exposure to LLMs and/or Recommendation Systems is a plus.
- Familiarity with MLOps practices and
- based deployments (AWS, GCP, or Azure). - Solid programming background with a focus on creating robust, maintainable, and scalable solutions.
Benefits & Culture
- Bonus Salary Policy: Enjoy a 15th-month bonus.
- Additional Vacation: Receive 4 extra vacation days to support a healthy
- life balance. - International Exposure: Get the opportunity to participate in international projects that broaden your professional experience.
- Professional Development: Benefit from
- paid certifications, extensive training, and continuous career progression support. - Home Office Support: A dedicated home office budget is provided to ensure you have the necessary tools and equipment.
- Team Building and Culture: Engage in team building activities within an innovative, young, and dynamic work environment.
Department
Data Science
Location
Based in Porto, Portugal. Although there is the possibility of remote working, we are only considering people located in Portugal.
Starting date: ASAP
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting
- Informações detalhadas sobre a oferta de emprego
Empresa: Login Localização: Porto
Porto, Porto District, PortugalPublicado: 5. 9. 2025
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