Data Science cum MLOps, Madrid (on-site) – International Client
Primary stack
Nice to have's
Job description
About the Position
Data Science cum MLOps, Madrid (on-site) – International Client
We are looking for a Data Science & MLOps Engineer to join our Advanced Analytics & AI team. This role focuses on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.
Responsibilities
- Design, develop, and deploy machine learning and Generative AI models for advanced analytics use cases.
- Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Collaborate closely with data scientists, data engineers, and analysts to deliver scalable AI solutions.
- Implement and manage MLOps best practices, ensuring model reproducibility, monitoring, and lifecycle management.
- Optimize models for performance and scalability in production environments.
- Work with tools such as MLflow, Azure Machine Learning, and Azure DevOps for pipeline orchestration and CI/CD.
- Drive innovation by expanding AI use cases using emerging technologies such as Generative AI.
- Communicate complex analytical concepts to non-technical stakeholders and guide decision-making.
- Participate in Agile/Scrum teams, contributing to continuous delivery and iterative product development.
- Stay updated on industry trends in AI, MLOps, cloud computing, and data platforms.
Requirements
- Experience: 6–8 years in Machine Learning Engineering or Applied ML, with strong exposure to MLOps.
- Programming: Advanced proficiency in Python (OOP) and PySpark.
- ML Frameworks: Hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
- Cloud & Platforms: Strong experience with Azure Cloud and Databricks.
- MLOps & Pipelines: Expertise in building ML pipelines using MLflow, Azure ML, and CI/CD tools (Azure DevOps).
- Data & Modeling: Strong knowledge of data preprocessing, feature engineering, model optimization, and evaluation techniques (cross-validation, A/B testing).
- Version Control: Experience with Git and collaborative development practices.
Nice to Have
- Knowledge of Generative AI frameworks (e.g., LangChain).
- Familiarity with vector databases.
- Experience with model monitoring and logging in production.
- Understanding of data governance and compliance.
- Relevant Databricks or Azure certifications.
Language
- English (C1)
Location
- Madrid (on site)
Rate
- 285-304 €/day
We Offer
- Flexible working hours focused on achieving objectives.
- Cutting-edge technologies to stay current with industry changes.
- Work modality options: on-site, remote, or hybrid.
- Opportunities to work in various global locations.
About the Company
Forming part of The White Team means collaborating with a company composed of professionals with extensive experience in technology consulting. We believe that companies and clients set the path forward in the sector, but it is the people who build it. Our organization is founded on our best asset and value-added brand: our human team.
About The White Team
Founded in 2012 by experienced consultants, The Whiteam was born as a quality technology consultancy with a clear mission: to help companies worldwide optimize their business profitability through the efficient use of information technologies.
© The Whiteam Consulting. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.