AI/ML Developer / Engineer - W2 Contract

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Job Title: AI/ML Developer

Location: Plano, TX Onsite

Duration: 12 Months - W2 Contract

Responsibilities:

• Develop an endtoend AI model and processing pipeline that transforms naturallanguage or structured test specifications into executable JSON scripts used by internal test automation tool.
• Build promptdriven, ruleaugmented, or finetuned models using Clientapproved AI platforms, ensuring compliance with internal AI/ML Review Board standards. Create data ingestion and training datasets using historical test cases, existing automation scripts, and test execution logs.
• Design the mapping framework between spec semantics automation actions JSON schema.
• Build validation utilities to automatically ensure script correctness, schema compliance, and alignment with automation tool capabilities.
• Integrate the AI generation pipeline into the existing test automation toolchain and CIbased workflows.
• Collaborate with automation SMEs to refine domainspecific rules, edge cases, and test coverage requirements.
• Drive continuous model improvement through error analysis, incremental finetuning, and user feedback loops.
• Maintain documentation, versioning, and traceability of AIgenerated scripts.
• Ensure responsible AI usage by aligning with Client governance, datahandling, and compliance requirements.
  
  

Skills Required:

• 5 years of experience building AI/ML or NLPbased solutions, including prompt engineering, LLMbased workflows, or model finetuning.
• Solid Python or similar development skills (data processing, model building, evaluation pipelines).
• Experience working with JSON schema design and automated test frameworks.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, HuggingFace or similar libraries.
• Experience with building or integrating ML pipelines into productionquality tools (API services, microservices, or batch systems).
• Strong understanding of software testing concepts: test cases, assertions, conditions, flows, automation logic.
• Ability to collaborate with crossfunctional engineering teams and translate ambiguous test definitions into structured logic.
  
  

Educational Background:

Bachelor s Degree (or higher) in Computer Science, Management Information Systems or related discipline, or equivalent professional work experience