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About the job
Location: Onsite, Raleigh, NC 10+ years’ experience Long term contract – 1099 or C2C Visa: USC, GC, H4EAD
Tech Stack: ML, MLOPS
Secondary: Python, Cloud
Shift Day 9AM - 6PM EST
• Collaborate with cross-functional teams to design, implement, and deploy machine learning models into production. • Lead the development and implementation of MLOps practices to streamline the machine learning lifecycle. • Work closely with data scientists and software engineers to integrate machine learning models with existing systems and applications. • Implement and maintain continuous integration and delivery (CI/CD) pipelines for machine learning projects. • Design and optimize infrastructure for scalable and efficient model training and deployment. • Monitor and troubleshoot production machine learning systems to ensure optimal performance and reliability. • Stay current with industry trends and best practices in MLOps and machine learning.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proven experience in MLOps, with a strong understanding of best practices for machine learning model deployment and monitoring. • Solid background in machine learning, including experience with model development, training, and evaluation. • Proficiency in Python is highly preferred. • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes. • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services. • Strong problem-solving and troubleshooting skills. • Excellent communication and collaboration skills.
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