Machine Learning Engineer

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 future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-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 best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-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 ever-changing environment.

Responsibilities

-Develop, implement and maintain Machine Learning models to solve complex business problems-Collaborate with cross-functional teams to understand business requirements and translate them into Data Science solutions-Use various Machine Learning frameworks and tools-Develop data pre-processing, feature engineering and model evaluation to ensure high 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-Keeping up to date with the latest advances in Machine Learning and MLOps technologies and best practices

Essential skills

-+5+ years' 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 pre-processing, feature engineering and model evaluation techniques-Experience with (at least 1) Cloud platform (e.g. Azure, GCP, Databricks, AWS)-Experience with containerization technologies (e.g. Docker, Kubernetes)

-Good English