Manager, Machine Learning

Immediate need for a talented Manager, Machine Learning .This is a 12 months contract opportunity with long-term potential and is located in Irvine, CA(Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-92135
Pay Range: $55 - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:

• We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of machine learning systems powering the Voice AI experience.
• This role is central to ensuring performance, scalability, and reliability across real-time models that support speech, natural language understanding, and agent behavior.
• You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high-quality agent performance with a strong focus on latency, integration with restaurant systems (e.g., HME, POS), and production excellence.
• ML System Design & Architecture
• Lead the design of end-to-end ML pipelines for speech, ASR, and NLU modules
• Optimize model performance for real-time interaction, including latency, uptime, and inference cost
• Implement and evolve model evaluation, testing, and monitoring frameworks
• Infrastructure & Integration
• Collaborate with engineering to integrate ML components with external systems (HME, menu boards, POS)
• Support scalable deployment strategies across markets and environments
• Drive MLOps best practices in CI/CD, rollback, logging, and observability
• Leadership & Collaboration
• Mentor and guide a team of MLEs and junior ML engineers
• Partner with product, AI engineering, and QA to define technical scope, delivery targets, and quality standards
• Support internal upskilling and technical review of AI-driven components

Key Requirements and Technology Experience:

• Key skills; Manager, Machine Learning, Python, PyTorch, NLP, LLM
• 6 years of experience in machine learning, including at least 2 years in technical leadership roles
• Proven expertise in deploying NLP, ASR, or LLM-based systems in real-time applications
• Strong programming skills in Python and ML tooling (e.g., PyTorch, HuggingFace, ONNX, MLflow)
• Experience optimizing model latency and integrating ML with backend infrastructure
• Experience in QSR, retail, or voice-driven customer service environments
• Background in integrating AI with physical systems (HME, POS, IoT)
• Familiarity with LoRA, quantization, distillation, and model compression techniques

Our client is a leading Restaurants Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration

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