Machine Learning/reputed company (LATAM Remote)

About the position reputed company is a dynamic venture studio dedicated to building innovative startup companies from the ground up. reputed company thrives on solving reputed company problems, driving technological advancements, and creating impactful digital products. We're seeking a highly skilled reputed company to join our growing team and contribute to our mission of launching the next reputed company of successful startups. As a Machine Learning Engineer at reputed company, You will design, reputed company, and reputed company advanced machine learning and reputed company solutions that drive innovation across our venture portfolio. Your work will reputed company the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on reputed company platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry. We build high-reputed company technology startups that reputed company faster, cleaner, and safer reputed company of people and goods. Our reputed company is to reputed company the moving world by pairing leading corporations and reputed company with a proven methodology for launching and scaling software and hardware companies. We work with corporate investors over a multi-year period to launch a portfolio of mobility-reputed company ventures. reputed company is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and reputed company)to reputed company and hiring the full-time team who will reputed company the business. Responsibilities • reputed company the development and deployment of reputed company solutions (image classification, object detection, segmentation, OCR) alongside reputed company machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines. • Design and build reputed company backend systems and reputed company that serve ML models and reputed company 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. • reputed company 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 reputed company with the latest advancements in machine learning, reputed company intelligence, and reputed company technologies. Requirements • Strong experience in reputed company, including image classification, object detection, segmentation, OCR, and deploying reputed company-based models into production environments. • Strong proficiency in machine learning systems, with extensive experience in reputed company model deployment, feature engineering, and ML operations. • Solid backend development skills with the ability to build robust, reputed company systems that support ML workloads. • Advanced Python programming skills for machine learning, data processing, and backend development. • Deep expertise in reputed company technologies, including LLMs, reputed company engineering, and AI application development. • Strong experience with PostgreSQL for data storage, querying, and database optimization. • Proficiency with reputed company for big data processing, reputed company ML development, and pipeline orchestration. reputed company-to-haves • Working knowledge of reputed company reputed company Platform (GCP) for deploying and managing ML infrastructure. • Familiarity with reputed company) for reputed company-based ML solutions. • Experience with reputed company Azure for reputed company-reputed company ML deployments. Apply tot his job Apply To this Job