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
About the Role
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 Responsibilities
- Design, build, and deploy machine learning models and pipelines into production environments
- Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products
- Monitor and maintain deployed models, ensuring performance and accuracy over time
- Conduct exploratory data analysis, feature engineering, and model evaluation
- Translate business problems into analytical solutions and communicate results to non-technical stakeholders
- Drive best practices for model lifecycle management, including versioning, monitoring, and retraining
- Stay current with developments in machine learning and MLOps
Required Qualifications
- 4+ years of experience as a Data Scientist or Machine Learning Engineer
- Proven 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 practices
- Experience with cloud platform
- Proficient in SQL and working with large-scale datasets
- Excellent problem-solving, communication, and collaboration skills
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
About the Role
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 Responsibilities
- Design, build, and deploy machine learning models and pipelines into production environments
- Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products
- Monitor and maintain deployed models, ensuring performance and accuracy over time
- Conduct exploratory data analysis, feature engineering, and model evaluation
- Translate business problems into analytical solutions and communicate results to non-technical stakeholders
- Drive best practices for model lifecycle management, including versioning, monitoring, and retraining
- Stay current with developments in machine learning and MLOps
Required Qualifications
- 4+ years of experience as a Data Scientist or Machine Learning Engineer
- Proven 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 practices
- Experience with cloud platform
- Proficient in SQL and working with large-scale datasets
- Excellent problem-solving, communication, and collaboration skills
