Machine Learning Engineer (Hybrid@Lisbon)

Bee Engineering ICT; Lisboa; Híbrido; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Continuous learning & certifications

Partnerships with discounts

One-to-One open communication

Celebrations (in-person or remote)

Referral program

Diversity & CSR initiatives

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

Data preprocessing

SQL

MLOps

Git

Docker

Problem solving

Team collaboration

Cloud platforms

Formação académica

Bachelor's degree

Ferramentas

scikit-learn

PyTorch

TensorFlow

Descrição da oferta de emprego

if (me.dareToChange() == true) { me.sendCV(); me.happy(true); }

We code opportunities, not just solutions.

We are an information technology consultancy, specialised in IT-related Engineering projects.

Our team consists of around 200 curious, bold, and solution-hacking professionals.

We invest in training, certifications, and challenges that recognise your progress, promote a healthy work-life balance, and offer benefits that truly impact your life and career.

We create a safe and inclusive environment where opportunities are equal for everyone. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.

If you want to work in a place where every line of code matters, learn something new every day, and leave your mark, come join us on this mission. #DareToChange

We’re looking for a Machine Learning Engineer to join a hybrid project in Lisbon, helping turn data into reliable, scalable solutions.

Dare to have

• A degree in Computer Science, Engineering, Mathematics, Data Science, or a related field;
• Hands-on experience developing, training, evaluating, and deploying Machine Learning models;
• Strong Python skills and experience with libraries such as scikit-learn, PyTorch, or TensorFlow;
• Knowledge of data preprocessing, feature engineering, and statistical analysis;
• Experience with SQL and building data pipelines;
• Understanding of MLOps practices, including experiment tracking, model versioning, 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 the ability to collaborate with data scientists, software engineers, and business teams;
• Availability to work in a hybrid model in Lisbon.

Experience with NLP, Large Language Models, or Generative AI solutions is a plus.

Dare to live:

First: Health | Health and dental insurance, psychological support, and life insurance to take care of your overall well-being.

Continuous Learning | Access to free training and certification plans in technologies, methodologies, languages, and soft skills to boost your professional development.

Partnerships | Exclusive benefits and discounts at restaurants, gyms, travel, pharmacies, and much more.

One-to-One | A culture of open communication, where every voice is heard and valued.

Celebrations | Joint celebrations, in-person or remote, with surprises and special moments.

Referral Program | Referral program for colleagues and friends, recognising and valuing your contribution to building the team.

Projects | We work on diverse projects, in different formats, scales, and work arrangements, allowing you to explore new technologies, methodologies, experiences, and grow professionally in varied contexts.

Diversity | We promote diversity and equity, creating a safe and collaborative environment. We are committed to practices that ensure equal opportunities and fight discrimination.

Sustainability & CSR | We act responsibly and sustainably, with a strategic plan aligned with the UN Sustainable Development Goals (Agenda 2030), contributing to a fairer and more balanced world.