Machine Learning Engineer

🌟 Opportunity : Machine Learning Engineer

Our client is a global leader and fast-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 state-of-the-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 real-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 high-performing AI solutions.
  
• Help develop the foundations of a Vertical AI platform, combining cutting-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 team-level decisions.
  
  

👤 Profile sought :

Education : 

Master’s or PhD 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 scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Experience designing and managing relational (e.g., PostgreSQL), document-based (e.g., MongoDB), and graph-based (e.g., Neo4j) databases.
• Previous exposure to LLMs and/or Recommendation Systems is a plus.
• Familiarity with MLOps practices and cloud-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 work-life balance.
• International Exposure: Get the opportunity to participate in international projects that broaden your professional experience.
• Professional Development: Benefit from company-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