| Machine Learning Engineer New York City, New York at York, New York, USA |
| Email: [email protected] |
| From: Badal kanojia, stellentit [email protected] Reply to: [email protected] Machine Learning Engineer New York City, New York Phone+Skype Job Description: Responsibilties: Develop and implement a robust infrastructure to support the deployment and scaling of deep learning models. Extensively manage cloud resources, ensuring optimal performance and cost-efficiency across various cloud platforms. Work closely with machine learning scientists and engineers to optimize model performance and deployment. Implement and maintain CI/CD pipelines for machine learning models, ensuring rapid and reliable deployment. Continuously monitor system performance, proactively identifying and resolving issues to maintain peak efficiency. Create comprehensive documentation of infrastructure setups and procedures, sharing knowledge with the team to foster a collaborative environment. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. At least 7 years of professional experience in machine learning infrastructure, cloud computing, and deep learning. Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), including their machine learning services and infrastructure as code tools. In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and optimization techniques for model deployment. Proficiency in containerization and orchestration tools (Docker, Kubernetes). Solid understanding of networking, security, and data storage solutions in cloud environments. Exceptional problem-solving abilities with a strong analytical mindset. Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities with a focus on results. Keywords: continuous integration continuous deployment |
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| Thu Oct 26 22:46:00 UTC 2023 |