Machine Learning Specialist

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This range is provided by Brainwave Optigrators LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$85.00/hr - $90.00/hr

Iselin, NJ, Charlotte, NC or Chandler, AZ

12+ months with possibility to convert

Hybrid onsite 2 days / 3 days remote

Required skillset

• Proven experience in Conversational AI and synthetic agent development, especially within Google Cloud environments.
• MUST HAVE one or more of the following:
  Google Dialog Flow / Playbook/ADK skills
• Hands-on expertise with GenAI orchestration tools (Lang Graph, Lang Chain, ReACT, LLMs).
• Strong background in real-time, event-driven architectures and cloud-native technologies (GCP, Kafka, Pub/Sub, Big Table).
• Deep understanding of MLOps practices for scalable AI deployment and monitoring.
• Experience in Responsible AI (RAI) and regulatory AI governance, especially in Fintech or other highly regulated industries.
• Track record of cost-efficient AI model deployment, optimizing deterministic vs. probabilistic approaches.

Day to Day

• Develop Synthetic AI Agents using the Google Conversational Platform and playbooks to enhance automated interactions.
• Orchestrate multiple Generative AI Agents using Lang Graph, Lang Chain (with ReACT), and LLM tooling for intelligent workflow automation.
• Architect and implement large-scale, low-latency, real-time systems with a focus on event-driven processing and extended conversational context using Big Table, Time Series, Pub/Sub, and Kafka.
• Leverage ML frameworks and MLOps best practices to streamline the deployment, monitoring, and maintenance of AI models.
• Continuously combat AI hallucinations by implementing real-time detection and correction mechanisms, rather than one-time adjustments.
• Design and implement guardrails, supervisory mechanisms, and observability frameworks to ensure AI transparency, reliability, and explainability.
• Lead Responsible AI (RAI) initiatives at scale, ensuring compliance with regulatory requirements for industries like Fintech.
• Optimize cost-efficiency of GenAI solutions through hybrid approaches, balancing deterministic and probabilistic methods.
• Integrate AI solutions into Google Cloud’s native microservices and event-driven architectures, leveraging technologies such as Big Table, Pub/Sub, and Alloy
  
  DB.

INCLUDE WITH SUBMITS PLEASE

Please provide your years of experience in the following:

Must have one of the following at least:

• ADK (Agent Development Kit)
• Playbook
• GenAI orchestration tools
• Lang Graph
• Lang Chain
• ReACT, LLM
• Conversational AI
• Google Cloud
• MLOps practices
• ML frameworks
• Reasonable
  
  AI (RAI)

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Contract

• Job function Design
• Industries
  
  IT Services and IT Consulting

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