Data Scientist / Machine Learning Engineer

Overview:

Join one of the largest independent IT and business consulting companies. With 90,000 professionals, we offer a comprehensive portfolio of capabilities, ranging from strategic IT and business consulting, systems integration, IT service management, business process management, to intellectual property solutions.

What will you do?

• Collaborate with Data Scientists to productionize GenAI and analytics models in a Databricks environment;
• Design, build, and maintain scalable data and ML pipelines;
• Deploy and monitor models using Azure Machine Learning (AzureML);
• Contribute to CI/CD processes using Azure DevOps and Git;
• Work with Python and PySpark to process and transform large-scale datasets;
• Implement best practices in DevOps, testing, and code quality;
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement;

• Ensure solutions are reliable, maintainable, and production-ready.

What are we looking for?

• 3+ years of experience as an ML Engineer, Data Engineer, or Data Scientist;
• Strong experience with Azure and Databricks;
• Solid programming skills in Python (PySpark is a plus);
• Experience with Git and CI/CD pipelines (preferably Azure DevOps;
• Knowledge of SQL and Python libraries such as scikit-learn, pandas, and mlflow;
• Experience with Azure Machine Learning and building data pipelines (Airflow or Databricks Pipelines);
• Strong team player with an analytical, proactive, and pragmatic mindset;
• Fluent in English.

What can you expect from us?

• A permanent job contract for a long term project;
• Tech equipment + SIM Card + personal smartphone;
• Health and Life Insurance;
• Social events and team buildings;
• The commitment of letting you grow with us, and be rewarded accordingly;
• A dynamic and young team that will be always there to support you;
• Training in the latest technologies;
• Coffee, fruits, snacks and a warm welcoming when you pass by the office.