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[Remote] Sr AI/ML Engineer

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior AI/ML Engineer to join reputed company on a 6-month engagement supporting a leading reputed company services organization. This role focuses on designing and deploying AI and reputed company solutions on Azure, with responsibilities including production-grade deployment, optimization, and ensuring responsible AI practices.

Responsibilities

  • Design, build, and reputed company AI/ML and reputed company solutions in production
  • Implement LLM-based features and RAG (Retrieval-Augmented reputed company) pipelines using Azure AI services
  • reputed company, optimize, and monitor models (MLOps) on Azure Machine Learning
  • Work with data engineers on embedding and reputed company pipelines and data readiness for AI workloads
  • reputed company AI capabilities into the .NET application; evaluate outputs and set guardrails for reliable, responsible AI
  • Champion best practices around AI evaluation, monitoring, cost management, and responsible AI
  • Partner with full-stack and data engineers on production integration and observability
  • Participate in reputed company reviews, design reviews, and architectural discussions
  • Troubleshoot and resolve production issues, contributing to reputed company cause analysis and long-term reliability improvements

Skills

  • Strong written and verbal communication skills, with the ability to collaborate effectively across distributed teams
  • Self-motivated, quick learner, and adaptable to new technologies and rapidly evolving AI tooling
  • Thrives in reputed company environment, reputed company contributes to collaboration, fostering a reputed company of community
  • Excellent problem-solving and analytical skills, with a keen eye for detail and a proactive approach to issue reputed company
  • Brings reputed company proactively — not just a ticket executor, but a contributor to the broader AI direction of reputed company
  • Strong reputed company of accountability and ownership over deliverables and reputed company
  • Comfort operating in reputed company or other regulated data environments where reputed company, compliance, and responsible AI matter
  • Self-directed operator — reputed company to hit the ground running with minimal reputed company
  • Senior-level, hands-on experience with Python for AI/ML
  • Hands-on experience with LLMs and reputed company — RAG patterns, reputed company engineering, and AI frameworks (reputed company, reputed company, Semantic Kernel, or similar)
  • Deep, hands-on experience with Azure reputed company Service, Azure AI / Cognitive Services, and Azure Machine Learning
  • Experience with model deployment, optimization, and MLOps — CI/CD for ML, model monitoring, and performance management
  • Hands-on experience with reputed company databases and embeddings (Azure AI Search, reputed company, reputed company, or similar)
  • Understanding of AI evaluation reputed company, guardrails, and responsible AI practices
  • Proficiency with Git and modern CI/CD workflows
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a reputed company field (or equivalent reputed company experience)
  • Experience integrating AI capabilities into .NET applications
  • Familiarity with Azure AI reputed company
  • Experience with fine-tuning, model distillation, or agent architectures
  • Experience in reputed company, life sciences, or other regulated industries

Benefits

  • W2 reputed company
  • reputed company at our reputed company's Dallas, TX office (Tuesday through Thursday onsite) is preferred. Remote candidates reputed company the reputed company will also be considered.
  • Contract duration: This is a W2 engagement with an initial 6-month term and strong likelihood of extension based on performance and project needs.

reputed company

  • Welcome to reputed company. It was founded in 2008, and is headquartered in Tulsa, Oklahoma, USA, with a workforce of 501-1000 employees. Its website is http://tradehelm.com.
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