ML Ops Engineer

<p> </p> <p>Job Title - MLOps Engineer</p> <p>Location- Reading, Pennsylvania, Work from Client location, 5 days a week</p> <p style="margin-left:24px"> </p> <p style="margin-left:24px"><b>Looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sage Mager is plus).</b><br /> <br /> Responsibilities</p> <p style="margin-left:24px"><br /> Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and supervisor policies for safe collaboration.<br /> Build high-quality RAG: implement ingestion, chunking, embeddings, indexing, and retrieval with evaluation (precision/recall, groundedness, hallucination checks), guardrails, and citations.<br /> Productionize on AWS: leverage services like Bedrock (Agents/Knowledge Bases/Flow...