Job Title : Data Scientist (Production ML Focus)
Location : Portugal (Remote from Portugal or Hybrid Options Available)
Experience Level : Mid-Senior (4+ Years)
Employment Type : Full-Time
My client are highly skilled Data Scientist with a strong background in deploying machine learning models to production environments. You will play a key role in developing, validating, and operationalizing data science solutions that directly impact our products and business strategy.
This position is ideal for someone who thrives at the intersection of data science and engineering, and is passionate about building scalable, reliable, and impactful ML systems.
Key ResponsibilitiesDesign, build, and deploy machine learning models and pipelines into production environmentsCollaborate with product managers, data engineers, and software engineers to integrate ML solutions into productsMonitor and maintain deployed models, ensuring performance and accuracy over timeConduct exploratory data analysis, feature engineering, and model evaluationTranslate business problems into analytical solutions and communicate results to non-technical stakeholdersDrive best practices for model lifecycle management, including versioning, monitoring, and retrainingStay current with developments in machine learning and MLOpsRequired Qualifications
4+ years of experience as a Data Scientist or Machine Learning EngineerProven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar)Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch,Solid understanding of data pipelines, APIs, and CI / CD practicesExperience with cloud platformProficient in SQL and working with large-scale datasetsExcellent problem-solving, communication, and collaboration skillsJob Title : Data Scientist (Production ML Focus)
Location : Portugal (Remote from Portugal or Hybrid Options Available)
Experience Level : Mid-Senior (4+ Years)
Employment Type : Full-Time
Required Qualifications
4+ years of experience as a Data Scientist or Machine Learning EngineerProven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar)Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch,Solid understanding of data pipelines, APIs, and CI / CD practicesExperience with cloud platformProficient in SQL and working with large-scale datasetsExcellent problem-solving, communication, and collaboration skills