Azure Machine Learning Engineer

Are you an Azure Machine Learning Engineer seeking a new interesting challenge? If your answer is yes, it's your lucky day so keep reading - it can be just what you're looking for WHAT WILL YOU DO? ️ We are looking for a dynamic, proactive and talented person to join our team and perform the following tasks: - Expand the scope of Advanced Analytics and AI, enabling use cases that leverage emerging technologies and fostering an innovative environment. - Work closely with the Data Scientists of the Advanced Analytics & AI Center of Expertise to design and develop Machine Learning and Generative AI models, collaborating with data engineers and data analysts. - Deploy and optimize AI models that leverage large-scale data to deliver predictive and analytical capabilities for the AST&I domains. - Build and maintain end-to-end ML pipelines, ensuring model reproducibility, scalability and monitoring aligned with MLOps best practices. - Engage in complex long-term projects, focusing on continuous delivery in small increments and contributing to project planning and execution. - Engage and guide non-technical stakeholders on Advanced Analytics and Generative AI use cases. - Collaborate with multidisciplinary teams and manage multiple stakeholders. - Be part of a diverse Agile / Scrum DevOps team with end-to-end responsibility for developing, managing and maintaining functionalities in the AST&I area, prioritized by the Product Owner. - Stay curious and up to date with trends in advanced analytics, generative AI and cloud platforms such as Databricks. WHAT TECHNOLOGIES WILL YOU USE? - Python (OOP preferred), PySpark - Machine Learning frameworks: Scikit-learn, TensorFlow, PyTorch - Databricks platform tools - Azure Machine Learning - MLflow and ML pipeline orchestration tools - Git and CI/CD pipelines for ML models (Azure DevOps / Azure Pipelines) - MLOps practices (feature engineering, training, evaluation and deployment) - Agile / Scrum methodologies WHAT ARE WE LOOKING FOR? - Years' experience: 5+ years in Machine Learning Engineering or applied ML with a focus on Azure cloud technologies - Strong proficiency in Python, PySpark and modern ML frameworks - Hands-on experience with the Databricks platform - Solid understanding of data preprocessing, feature engineering and model optimization - Experience orchestrating ML pipelines using tools such as MLflow and Azure Machine Learning - Strong understanding of ML evaluation metrics and methods including A/B testing and cross-validation - Experience with Git and building CI/CD pipelines for ML models, preferably in Azure DevOps - Ability to work with multiple stakeholders in complex environments - Fluent English Good to have: - Familiarity with Generative AI models and open-source GenAI frameworks such as LangChain - Knowledge of vector databases - Experience with monitoring and logging ML models in production -

Knowledge of data governance and compliance for ML use cases - Databricks certifications - Azure certifications WHERE AND WHEN? - Workplace: Madrid (hybrid model) - Work Schedule: office hours WHAT CAN WE OFFER YOU? - Permanent contract - We offer indefinite contracts from the first day. - Pay and benefits - Competitive salary and a flexible compensation plan adapted to your needs (Ticket Restaurant, Childcare Ticket, Transport Ticket and Health Insurance). - Work from home ️ - Monthly financial support for your working-from-home expenses, plus a welcome bonus in the first month to help you set up your workplace - Opportunity knocks - Career development plan and annual performance-based compensation reviews. - Learn as you grow - Fantastic onboarding program and access to robust learning platforms. - Bring your buddy - Referral bonus through our BYB Scheme. - Connect globally - Work with multicultural teams from all over the world. - Benefit from being a TCSer ️ - Corporate discounts and exclusive benefits. - And so on - Appreciations, incentives, team building activities, diversity & inclusion programs, sustainability initiatives and corporate events… This has only just begun WELCOME, WE ARE WAITING FOR YOU