Descrição:
Dellent is a consulting company focused in System Information and Telecommunications. Our goal is to help our candidates and consultants to take a step forward in their careers through projects that meet their needs and expectations.
Are you eager to be part of a multinational project in the field of information technology? Here you’ll have the opportunity to work as a consultant and collaborate with talented colleagues and clients across the globe. Join us in this project and start making a contribution to innovation in the industry!
We are looking for a Data Scientist / Machine Learning Engineer to work in this project in Lisbon or Porto.
Key Responsibilities:
- The role involves working closely with data science teams to deploy GenAI and analytics models into production within a Databricks environment, operating under DevOps, and expanding into AzureML for GenAI use cases;
- Responsibilities include contributing to the full development lifecycle and ensuring sustainable, high-quality solutions;
Requirements:
- At least 3+ years of experience as a technical data specialist (ML engineer, data engineer or data scientist);
- Solid experience with Azure, Databricks, Python/PySpark, Git, and CI/CD pipelines (ideally in Azure DevOps);
- Knowledge of Python libraries (such as scikit-learn, pandas, mlflow), SQL or PySpark, Azure Machine Learning, and building data pipelines using Airflow or Databricks Pipelines is required;
- Agile/Scrum experience is a plus.
What you can expect from us:
- Health insurance;
- A personalized training plan, with a budget to spend on the training and technical books you find necessary;
- Constant feedback so you can grow professionally;
- Remote onboarding process;
- Team events every semester so you can live new adventures;
- Exclusive discounts and offers from our partners;
- Culture of proximity and transparency. Your ideas and needs are heard and valued by us!
Apply
If the above sounds like the kind of job opportunity you would want to get involved with, then please do not hesitate to apply here . You can also explore our content about the job market here .