Machine Learning Engineer Lisboa

Machine Learning Engineer
Lisboa
Lisboa, Lisboa, Portugal

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology, and consulting service provider, we are ideally positioned to help you achieve your ambitions and
- proof your business. With a smart blend of bold thinking and reliable execution, we’re able to
- track innovation through each step of your value chain.

We are strategically positioned to build value, with a global footprint across 30 countries. We are as global and local as you need us to be, with strong
-
- class
- European technological centres and unique
- shoring capabilities.

We leverage a network of high
- adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an
- changing environment.

Responsibilities

• Develop, implement, and maintain Machine Learning models to solve complex business problems.
• Collaborate with
  - functional teams to understand business requirements and translate them into Data Science solutions.
• Use various Machine Learning frameworks and tools.
• Develop data
  - processing, feature engineering, and model evaluation to ensure
  - quality model performance.
• Monitor and continuously improve the performance of implemented models.
• Design and implement MLOps pipelines to automate the implementation and monitoring of Machine Learning models in production.
• Keep up to date with the latest advances in Machine Learning and MLOps technologies and best practices.

Essential skills

• +5 years of experience in Data Science and Machine Learning.
• Proven experience as a Data Scientist, with a strong emphasis on Machine Learning and MLOps.
• Proficiency in programming languages such as Python.
• Experience with Machine Learning frameworks and libraries.
• Familiarity with MLOps tools and platforms (e. g. , MLflow, Kubeflow, Airflow).
• Solid knowledge of data
  - processing, feature engineering, and model evaluation techniques.
• Experience with at least one Cloud platform (e. g. , Azure, GCP, Databricks, AWS).
• Experience with containerization technologies (e. g. , Docker, Kubernetes).
• Good command of English.