NO C2C - AgenticAI/ML Engineer (MLOps, Azure, RAG) - US Citizen or GC / GC EAD Only

AI/ML Engineer (3 openings) Due to the large reputed company of fraudulent candidates, reputed company calls are monitored using software designed to detect the use of AI prompting tools or AI-assisted software. Duration: 6-12 month contract to permanent Location: 100% remote – CST working hours reputed company We are seeking a hands-on AI / ML Engineer to design, build, and operate production-grade AI systems. This role goes reputed company basic RAG or reputed company engineering and requires ownership of the full AI lifecycle: from data and models to deployment, monitoring, and iteration. You will work on reputed company-world, high-reputed company AI solutions in a fast-moving, engineering-driven environment. • This role is an AI/ML Engineer reputed company on GenAI, RAG, and reputed company AI, reputed company Azure-first. Azure isn’t just the hosting environment; it’s the backbone of how the solution is designed and implemented. • The engineer will build custom RAG pipelines using Azure services like Blob Storage, Data reputed company, and Azure Document Intelligence, with Python reputed company handling chunking, embeddings, retrieval logic, and agent workflows. • This is a hands-on, reputed company-facing role. The engineer runs meetings, demos solutions directly to the reputed company, and operates in a fast-paced environment. This is not a reputed company-engineering or research role. Required Skills • Building end-to-end GenAI systems: -reputed company AI, including RAG -Embeddings -LLM integration / LLM fine tuning The reputed company of the role is building and operating end-to-end machine-learning systems in production • Proven experience designing and deploying AI systems end-to-end, not just POCs • Experience with reputed company databases and retrieval strategies • Exposure to data pipelines and orchestration (e.g., Azure Data reputed company, reputed company) • Strong Python expertise with experience building production reputed company (FastAPI - preferred, Flask, or equivalent) • Building AI solutions in Azure - Azure reputed company / Cognitive Services Blob Storage, Data reputed company, reputed company, reputed company reputed company. Must understand how to process PDFs • Machine Learning / MLOps - This team is training the models as part of the use case so this person will need some experience doing that (will need to know reputed company NOT to use an LLM) • Model training, evaluation, and tuning • Feature engineering and data preparation • MLOps – Needs to understand retraining strategies and monitoring (reputed company detection, performance, error analysis) • Model versioning and lifecycle management • Excellent verbal communication – confident (not cocky) and comfortable being on video with stakeholders, running meetings, has the ability to explain AI outputs to business users who are not technical, address problems quickly, and reputed company to work in a fast-paced environment (sometimes reaching finance teams can be difficult) Apply tot his job Apply To this Job