Hybrid ML Engineer in Lisbon — Innovate with AI

Bee Engineering ICT; Lisboa; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Continuous learning & certifications

Partnerships with discounts

One-to-One open communication

Celebrations (in-person or remote)

Referral program

Diversity & CSR initiatives

Job summary

Bee Engineering ICT in Lisbon seeks a Machine Learning Engineer to join a hybrid project, turning data into reliable, scalable solutions. You will design, train, and deploy ML models while collaborating with data scientists, software engineers, and business teams.

The ideal candidate has hands-on ML experience, strong Python skills, and familiarity with data pipelines, MLOps, and cloud platforms. A commitment to continuous learning and delivering impact is essential.

Qualifications

• A degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
• Hands-on experience developing, training, evaluating, and deploying ML models.
• Strong Python skills and experience with ML libraries.
• Knowledge of data preprocessing, feature engineering, and statistical analysis.
• Experience with SQL and building data pipelines.
• Understanding of MLOps practices, including experiment tracking, deployment and monitoring.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Experience with Git, Docker, and CI/CD practices.
• Strong problem-solving skills and ability to collaborate with cross-functional teams.

Responsibilities

• Develop, train, evaluate, and deploy machine learning models within a hybrid Lisbon project.
• Collaborate with data scientists, software engineers, and business teams to turn data into scalable solutions.

Skills

Python

Data preprocessing

SQL

MLOps

Git

Docker

Problem solving

Team collaboration

Cloud platforms

Education

Bachelor's degree

Tools

scikit-learn

PyTorch

TensorFlow

Job description

Bee Engineering ICT in Lisbon seeks a Machine Learning Engineer to join a hybrid project, turning data into reliable, scalable solutions. You will design, train, and deploy ML models while collaborating with data scientists, software engineers, and business teams.

The ideal candidate has hands-on ML experience, strong Python skills, and familiarity with data pipelines, MLOps, and cloud platforms. A commitment to continuous learning and delivering impact is essential.