AI Infrastructure / ML Engineer (Remote) at CapaCloud

CapaCloud is recruiting suitable candidates to fill the position below:

Job Title: AI Infrastructure / ML Engineer

Location: Wyoming Lagos,
Employment Type: Full-time

Description

• We are hiring an AI Infrastructure / ML Engineer to help optimize CapaCloud for AI workloads, model deployment, training, inference, and scalable GPU utilization.
• You will work closely with infrastructure engineers to ensure the platform supports modern AI workflows for startups, researchers, and enterprise users.
• This role is ideal for someone passionate about AI systems, MLOps, and large-scale GPU computing.

Key Responsibilities

• Build and optimize AI deployment pipelines
• Improve GPU workload efficiency for AI applications
• Support AI training and inference infrastructure
• Optimize performance for PyTorch, TensorFlow, and LLM workloads
• Build scalable APIs and inference systems
• Develop benchmarking and performance testing tools
• Collaborate with infrastructure teams on orchestration systems
• Support model deployment and containerized AI workloads
• Improve developer experience for AI users
• Monitor and optimize AI compute performance.

What Success Looks Like

• High-performance AI deployment infrastructure
• Optimized GPU utilization for AI workloads
• Smooth onboarding for AI developers
• Reliable inference and training systems
• Strong benchmark performance across workloads.

Required Skills & Experience

• Interested candidates should possess a Master`s Degree
• Experience with AI/ML infrastructure and MLOps
• Strong Python programming skills
• Experience with PyTorch, TensorFlow, or JAX
• Experience with GPU computing and CUDA environments
• Familiarity with containerized deployment systems
• Experience deploying AI models in production
• Understanding of inference optimization techniques
• Experience with APIs and backend systems
• Strong debugging and analytical skills
• Experience in startup or B2B SaaS marketing
• Strong understanding.

Nice To Have:

• Experience with LLM infrastructure
• Familiarity with Hugging Face ecosystem
• Experience with distributed training systems
• Knowledge of Kubernetes and orchestration systems
• Experience with AI inference optimization tools
• Open-source AI contributions.

Salary
$5000 - $7000 monthly.

Application Closing Date
23rd June, 2026.