AI/ML Developer with Vertex AI

Position overviewWe 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.

ResponsibilitiesWork 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 products

RequirementsAt least 2 years of experience in work environments as a Software Engineer, Data Engineer, or ML EngineerDemonstrated experience in the creation and utilization of generative AI using Vertex AISolid experience with Python, UNIX environments, using CI/CD and Docker pipelinesExperience with Large Language Models (LLM) – MandatoryExperience with Prompt Engine Patterns, Vector DB, or Sabre Integration – Nice to have at least one of them.Excellent analytical skills related to working with unstructured data sets, and advanced knowledge of SQL, including query optimizationUnderstanding of the complete life flow of Machine Learning modelsAdvanced oral and written EnglishExcellent communication skills and collaborative work experience

Nice to haveExperience in building and optimizing highly scalable data pipelines, message queues, and big data architecturesExperience configuring CI/CD pipelinesExperience with GCP, especially the machine and data processing suite of services learningAbility to visualize possible improvements, problems, and solutions for architectures

Key Skills

• Machine Learning