AI/ML Engineer, Mid

What you’d do

Build AI/ML signal-processing and automation tools, working with multidisciplinary teams to design, test, and deploy solutions. Involves GPU programming with CUDA or RAPIDs and streaming data for rapid capability deployment. Full time. Found on the employer's careers page on Oct 18, 2026. Apply through the link.

You’ll need

• 4+ years developing AI/ML in a microservice stack
• AI-agent planning, reasoning, and execution loops
• Python ML frameworks such as PyTorch or TensorFlow
• GPU programming with CUDA or RAPIDs
• Model evaluation and AI quality metrics