.Position Overview: We are looking for our next Machine Learning Engineer for the Advanced Analytics team for one of our clients.
This professional will be responsible for promoting the execution of the company through our Data Products.
They connect models with the real world and are in charge of both making them available in a highly scalable environment and connecting their interactions with reality.In addition, they are in charge of operating and optimizing the models, making sure they interact appropriately with real people and/or systems, navigating the challenges that come with their implementation without compromising the quality of their delivered artifacts in an Agile delivery process.
It is a role with a great technical responsibility.
You should surf in the terminal without reluctance to put your hands to implement a scalable, usable, functional and decoupled solution.
They work closely with Data Scientists to automate the various tasks in robust and resilient machine learning pipelines.
ML Engineers are creators of excellence, their natural habitat is data and that is where they perform to their limit, always working as a team, with a great collaborative spirit.We strongly believe that success lies in inclusion and diversity, which is why we are committed to providing a more inclusive and diverse workplace, where individuality is respected and equal opportunities are promoted without discriminating based on race, religion, sex, age, disability, nationality, sexual orientation, identity, or expression.Responsibilities:Work directly with the Data Scientists team to put Machine Learning models into production by creating and using ML pipelinesCollection of large volumes and varied data setsCollection of interaction with reality for subsequent retrainingBuild the necessary components to serve our models and enable them to interact with the rest of the company in a real and highly scalable environmentWork very closely with Data Scientists looking for efficient ways to monitor, operate, and give explainability to the modelsPromote a technical culture by boosting the MLOps level of our data productsRequirements:At least 3 years of experience in work environments as a Software Engineer, Data Engineer, or ML EngineerExperience with GCP, especially Vertex AI, BigQuery ML, and AutoMLSolid experience with Python and Software Engineer best practicesUNIX environments, using CI/CD and Docker pipelinesExperience with Large Language Models (LLM)Experience with Prompt Engine Patterns and/or Vector DB – Nice to have at least one of them