AI Infrastructure / ML Engineer - Wyoming, WY
Published on CazVidat Capa Cloud
Join Capa Cloud as an AI Infrastructure / ML Engineer in Wyoming. Optimize AI workloads, GPU utilization, and model deployment. Remote eligible, full-time role.
Salary
$5,000 per year
Location
United States
Employment type
Full time
Workplace
Remote
AI Infrastructure / ML Engineer - Wyoming, WY
$5,000 per year
Job description
Capa Cloud is seeking a skilled AI Infrastructure / ML Engineer to optimize our platform for AI workloads, including model deployment, training, inference, and scalable GPU utilization. This full-time position is based in Wyoming, Wyoming, United States, and offers remote work eligibility.
Join our team to collaborate closely with infrastructure engineers and support startups, researchers, and enterprise users by enhancing AI systems and MLOps workflows.
Key Responsibilities
- Build and optimize AI deployment pipelines to ensure efficient model delivery
- Enhance GPU workload efficiency tailored for AI applications
- Support infrastructure for AI training and inference tasks
- Optimize performance for frameworks such as PyTorch, TensorFlow, and large language models (LLMs)
- Develop scalable APIs and inference systems to support AI workloads
- Create benchmarking and performance testing tools for continuous improvement
- Collaborate with infrastructure teams on orchestration and containerized deployment systems
- Improve developer experience and streamline AI compute performance monitoring
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 technologies (e.g., Docker, Kubernetes)
- Experience deploying AI models into production environments
- Knowledge of inference optimization techniques and backend API development
- Excellent debugging and analytical problem-solving skills
Nice To Have
- Experience working with large language model (LLM) infrastructure
- Familiarity with the Hugging Face ecosystem
- Background in distributed training systems
- Knowledge of Kubernetes and orchestration platforms
- Experience with AI inference optimization tools
- Contributions to open-source AI projects
Compensation: $5000 per year
Employment Type: Full-time
Location: Wyoming, Wyoming, United States (Remote eligible)