MACHINE LEARNING ENGINEER - MODEL DEVELOPMENT & MLOPS (HYBRID)

MACHINE LEARNING ENGINEER - MODEL DEVELOPMENT & MLOPS (HYBRID PORTO)

Portuguese company hires for hybrid position

📍 Location: Porto, Portugal

⚠️ Only candidates already based in Portugal will be considered

💼 Work Model: Hybrid — 2 days per week in the office

🗣️ Language Requirements: Fluent English required

🕓 Seniority: Mid/Senior (3-5 years)

💲Rate Between €2900 - 3200 RV or unipessoal (gross value)

⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.

About the Opportunity

We are looking for a Machine Learning Engineer to develop and maintain AI solutions throughout the full lifecycle, from data preparation and model training to deployment, retraining, and production operations using MLOps practices.

Responsibilities

• Develop ML solutions covering data preparation, feature engineering, training, deployment, and retraining.
• Train and refine AI models with practical business applications.
• Collaborate with Data Scientists and Data Engineers to define technical requirements.
• Build proof-of-concept and proof-of-value solutions using modern AI frameworks.
• Maintain and improve AI solutions following DevOps and MLOps principles.
• Share knowledge and support the handover of new AI concepts to the data community.

Requirements

• 3–5 years of proven relevant experience.
• Strong programming skills in Python or similar languages for ML development.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data processing and feature engineering techniques.
• Experience with model deployment, APIs, and MLOps practices.
• Familiarity with Azure ML, Snowflake, and dbt.
• Working knowledge of SQL and data pipelines.
• Experience working with Agile methodologies such as Scrum or Kanban.

Ideal Candidate Profile

An analytical and detail-oriented engineer who can connect model development with production requirements. Strong collaboration and communication skills, curiosity about emerging AI technologies, and the ability to manage competing priorities are essential.

5 Questions for Candidates

1. Do you have 3–5 years of relevant experience developing and delivering machine learning solutions?
2. Which ML frameworks have you used, and what models have you trained or refined?
3. What experience do you have with data preparation, feature engineering, SQL, and data pipelines?
4. How have you deployed, operated, and retrained models using MLOps practices?
5. Are you fluent in English and available to work on-site in Porto 2 days per week?

Keywords

Machine Learning Engineer, Python, TensorFlow, PyTorch, Scikit-learn, Feature Engineering, Model Training, Model Deployment, Retraining, MLOps, DevOps, APIs, Azure ML, Snowflake, dbt, SQL, Data Pipelines, Proof of Concept, Proof of Value, Agile.