Machine Learning Engineer (all genders) Porto, Lisbon

Valantic; Porto, Lisboa; Hybrid; EUR 45,000 - 70,000; Full time

Job summary

Valantic Porto is seeking an experienced Data & AI professional to join a hybrid international team. You will design and build scalable ML solutions, from architecture through deployment, and collaborate with Cloud, Data and AI Engineering teams on client projects.

Ideal candidates bring 3–6 years in ML engineering, strong Python and ML stack skills, and experience with cloud environments (Azure, AWS) and CI/CD for ML workflows. Join us to shape technology trends.

Qualifications

• 3–6 years of professional ML engineering experience
• Proficient in Python and ML stack
• Experience with ML deployment and production pipelines
• Experience with cloud ML environments (Azure, AWS)
• Experience with CI/CD for ML workflows
• Strong teamwork and intercultural communication
• Independent, structured working style

Responsibilities

• Design and develop scalable Data & AI solutions from architecture to production
• Contribute to agile projects and own subprojects
• Collaborate with Cloud, Data, and AI Engineering or Consulting teams
• Implement and monitor ML models in production
• Shape technological trends through client projects

Skills

Python

ML engineering

SQL

Airflow

MLflow

Metaflow

ONNX

Azure AWS

Containerization

CI/CD

Git

Agile methodologies

GenAI

Education

Bachelor’s or Master’s in CS/ Informatics/ Data Science/ Mathematics

Tools

Splunk

Prometheus

Grafana

Job description

Porto Lisbon SQL AWS Experienced Professionals

Effective Field

• You can look forward to a dynamic, challenging, and diverse work environment in the Data & AI domain, where you’ll contribute to innovative client projects across various industries.
• You’ll be part of a hybrid, international expert team that combines technical with consulting excellence.
• You’ll design and develop scalable Data & AI solutions – from architecture and implementation through to integration into production environments.
• You’ll actively contribute to agile projects, take ownership of subprojects, and collaborate closely with colleagues from Cloud, Data, and AI Engineering or Consulting.
• You can expect diverse challenges, plenty of room for initiative, and the opportunity to shape technological trends through real client projects.

What distinguishes you

• Degree in Computer Science, Informatics, Data Science, Mathematics, or a related field
• Experience:
  • Mid-Level: 3–6 years of professional experience in ML engineering
  • Senior: 6+ years of experience with a proven track record in designing, deploying, and operating production-grade ML systems and automated training pipelines.
• Expertise in Python, its ML ecosystem (scikit-learn, TensorFlow, PyTorch), SQL, model training, hyperparameter tuning, feature engineering, automated pipelines (Apache Airflow), MLOps frameworks (MLflow, Metaflow), model deployment (ONNX), and model monitoring.
• Experience with cloud ML environments (Azure, AWS), containerized/serverless deployments, infrastructure-as-code, and CI/CD pipelines for ML workflows.
• Expertise in software engineering, API and microservice design, monitoring tools (Splunk, Prometheus, Grafana), and engineering best practices like CI/CD pipelines, Git, automated testing, and agile methodologies.
• Data & Generative AI: Practical knowledge of data quality, relational/NoSQL databases; experience with GenAI frameworks (e.g., LangChain, Spring AI) and techniques like prompt engineering or semantic search; routine use of AI-assisted coding tools.
• Strong team player and intercultural communication skills.
• Independent, structured, and self-reliant working style.
• Pragmatic, solution-oriented, and analytical thinker.

What you can expect

• Professional environment with challenging national and international digital projects for well-known customers and hidden champions;
• A passionate team with a Can-Do Attitude that welcomes you with open arms;
• A modern working environment with a feel-good factor;
• Development opportunities that suit you;
• Flexible working hours, attractive benefits and of course lots of fun.