AI Infrastructure / ML Engineer in Wyoming, MI

Capa Cloud is seeking a skilled AI Infrastructure / ML Engineer to join our team in Wyoming, Michigan. This full-time role focuses on optimizing AI workloads, model deployment, training, inference, and scalable GPU utilization on the CapaCloud platform. As an AI Infrastructure / ML Engineer, you will collaborate closely with infrastructure engineers to support modern AI workflows tailored for startups, researchers, and enterprise clients. This position is perfect for professionals passionate about AI systems, MLOps, and large-scale GPU computing. Key Responsibilities Build and optimize AI deployment pipelines for seamless model delivery Enhance GPU workload efficiency to maximize AI application performance Support infrastructure for AI training and inference tasks Optimize performance for PyTorch, TensorFlow, and large language model (LLM) workloads Develop scalable APIs and inference systems for production environments Create benchmarking and performance testing tools to ensure reliability Collaborate with infrastructure teams on orchestration and containerization systems Support containerized AI model deployment and management Improve developer experience by streamlining AI compute workflows Monitor and optimize AI compute resource utilization and performance Required Skills & Experience Proven experience with AI/ML infrastructure and MLOps best practices Strong proficiency in Python programming Hands-on experience with PyTorch, TensorFlow, or JAX frameworks Expertise in GPU computing and CUDA environments Familiarity with containerized deployment systems such as Docker Experience deploying AI models into production environments Understanding of inference optimization techniques and tools Experience developing APIs and backend systems Excellent debugging and analytical problem-solving skills Preferred Qualifications Experience working with large language model (LLM) infrastructure Familiarity with the Hugging Face ecosystem Knowledge of distributed training systems and Kubernetes orchestration Experience with AI inference optimization tools and frameworks Contributions to open-source AI projects are a plus Location: Wyoming, Michigan, United States (Remote eligible) Compensation: $5,000 per year Join Capa Cloud and help shape the future of AI infrastructure with cutting-edge technology and innovative solutions.