October 22
πΊπΈ United States β Remote
β° Full Time
π΄ Lead
π€ Machine Learning Engineer
π½ H1B Visa Sponsor
β’ Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment. β’ Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively. β’ Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime. β’ Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases. β’ Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution. β’ Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency. β’ Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration. β’ Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
β’ Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience. β’ At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Apply NowOctober 22
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