Job description

Position Overview We are looking for an ML Engineer with hands-on experience in deploying large language models (LLMs) on GPU infrastructure. This role combines ML engineering with DevOps, focusing on scalable deployments, API integration, and optimization of LLM performance. Key Responsibilities • Deploy and optimize LLMs on GPU-based infrastructure. • Build and manage APIs for model serving (Python-based). • Implement CI/CD, monitoring, and scaling for ML models. • Collaborate on prompt engineering and model optimization. • Manage containerized workloads (Docker/Kubernetes). Required Qualifications • 4–5 years of ML/DevOps engineering experience. • Strong in Python, APIs, and LLM architecture. • Experience with GPU deployments and cloud platforms (AWS/GCP/Azure). • Familiarity with prompt engineering and inference optimization. • Machine Learning: 5 years of experience (Required). Benefits & Additional Information • Pay: $60.00 - $75.00 per hour • Job Type: Full-time • Expected Hours: 40 per week • Location: In person; Ability to Relocate: Phoenix, AZ 85003 (Relocate before starting work)

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