Job Title: Machine Learning Infrastructure Engineer Computer Vision & AI<BR>Location: Redwood City, CA (Hybrid, onsite 3 days/week) Type: Contract-to-Hire or Full-Time Visa: H1B transfers considered

About the Role: Were looking for a skilled Machine Learning Infrastructure Engineer to join a state-of-the-art AI team focused on real-time video analytics and computer vision. The ideal candidate will design and implement scalable ML systems, integrating advanced technologies such as LLMs, LVMs, and Retrieval-Augmented Generation (RAG).

Key Responsibilities: Architect and build production-grade ML infrastructure to support deep learning on large-scale video datasets. Develop scalable data pipelines for ingestion, management, and annotation of training data. Collaborate with research scientists to integrate cutting-edge AI models into production workflows. Optimize systems for continuous training, evaluation, and deployment of computer vision solutions. Stay informed on emerging trends in AI, ML, and computer vision and apply them to drive innovation.

Required Qualifications: BS/MS in Computer Science or related field, 6+ years of industry experience. Strong expertise in machine learning, deep learning, and computer vision. Hands-on experience building scalable ML infrastructure and distributed systems. Proficiency in Python and adherence to software development best practices Production experience with LLMs, LVMs, and RAG.

Preferred Experience: Real-time video processing environments. Familiarity with cloud-based ML platforms and MLOps tools.