Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is dedicated to leveraging cloud, data, and AI to reimagine operational and competitive strategies. Responsibilities: Create ML models from scratch or improve existing models Develop ML/AI pipelines that include custom models or APIs as part of processing Collaborate with engineering, data science, and product teams on deploying production models Develop and maintain experimentation roadmaps and pipelines Monitor, maintain, and optimize ML models in production Document ML models, processes, and pipelines clearly and comprehensively Requirements: Strong understanding of standard ML algorithms and mathematical foundations Practical experience with classification and regression tasks, feature engineering Experience deploying and monitoring ML models in production environments Experience with NLP, LLMs, or recommendation engines Solid software engineering skills, including modular code development Proficiency in Python and Docker Experience with AWS cloud services (e.g., SageMaker, ECS, EMR/Glue, S3, Lambda, SQS) English level - Upper Intermediate or higher Excellent communication and problem-solving skills Preferred Skills: Experience with Retrieval-Augmented Generation (RAG) Knowledge of taxonomies or ontologies Experience with Spark/Dask and Great Expectations Additional Details: Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Hospitality, Food and Beverage Services, Retail This job is currently active and accepting applications. #J-18808-Ljbffr