Machine Learning/AI Engineer (LATAM Remote) - UP.Labs - Anywhere
UP.Labs
Overview:
UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.
We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.
Technical Challenge:
As a Machine Learning Engineer at UP.Labs, You will design, develop, and deploy advanced machine learning and generative AI solutions that drive innovation across our venture portfolio. Your work will span the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on cloud platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry.
In this role you will:
• Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines.
• Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure.
• Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications.
• Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment.
• Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time.
• Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability.
• Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies.
Required Skills:
• Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based m