AI/ML Engineer (W2 Contract – $60/hr)
Location: Phoenix, AZ (Onsite • 5 Days/Week • Local Candidates Only)
Job Type: 6+ Month Contract-to-Hire (W2)
Interview: Inperson Interview Required

About the Role
We are seeking an experienced AI/ML Engineer for an onsite role in Phoenix, AZ. This is a W2 contract position at $60/hr, with the potential to convert to full-time after 6 months. Local candidates only, as this role requires 5 days per week onsite.

You will design and develop ML and deep learning solutions for observability data (AIOps), build intelligent forecasting and anomaly detection models, and integrate modern LLM-based capabilities including prompt engineering, fine-tuning, and RAG pipelines.

Responsibilities

• Design and develop ML/DL algorithms for observability data (AIOps)
• Build solutions for time series forecasting, anomaly detection, and event classification
• Integrate LLMs using prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG)
• Work with MCP client/server development for Grafana or similar tooling
• Collaborate with cross-functional teams to deliver scalable AI-driven features

Required Skills

• 6–8 years of hands-on AI/ML engineering experience
• Strong background in:
  • Time series forecasting
  • Anomaly detection
  • Event classification
• Experience with LLMs (prompt engineering, fine-tuning, RAG)
• Proficiency with MCP-based integrations (Grafana or similar)
• Programming: Python, R
• ML Frameworks: TensorFlow or PyTorch, scikit-learn
• Cloud: Google Cloud (GCP) and/or Azure
• Front-End: React, Angular, Vue.js, or jQuery
• Design Tools: Figma, Adobe XD, or Sketch
• Databases: MySQL, MongoDB, or PostgreSQL
• Server-Side: Python, Node.js, or Java
• Version Control: Git
• Understanding of testing frameworks and Agile methodologies
• Excellent communication and collaboration skills