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Technical LeadOutdefine Partner

Web3

10-50

San Francisco, CA, USA

About the job

Overview:

Job Overview
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
Responsibilities:
• 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.
Qualifications:
• 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.