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! 🚀