6 mlops manager jobs at 6 companies in Orlando, FL
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2mo
Technical Project Manager (Voice AI)
Orlando or United States
RemoteFull Time
Acclaim: Enterprise voice-first AI platform for automated customer experience.
5+ YOE5+ years project management experience (BigTech or AI startups preferred), deep familiarity with Voice AI (TTS, ASR, speech recognition, telephony), data-driven/customer-first mindset, product/MLOps experience and Agile/Scrum knowledge preferred.
The Institute of Internal Auditors: Global professional association for the internal auditing profession.
7+ YOE2+ MgmtBuild and lead enterprise data, analytics, and AI capabilities; 7+ years in data/ML with 2+ years leading teams; experience with cloud data platforms, governance, SQL and Python.
Azure, Databricks, Spark, Delta Lake, SQL, Python, MLOps, LLM, NIST AI RMF, ISO/IEC 42001
Universal Destinations & ExperiencesNASDAQ: CMCSA: Operates global theme parks and immersive entertainment resort destinations.
8+ YOE10+ MgmtAdvanced leadership in AI/ML delivery, 8+ years technical leadership, 10+ years managing teams, bachelor’s in computer/data science required; master’s/PhD preferred; expertise in statistical modeling, MLOps, data engineering, cloud, and strong communication.
Washington or Orlando or Montvale or New York or Dallas
OnsiteFull Time
KPMG: Global professional services network providing audit, tax, and advisory.
8+ YOE8+ years applied AI/ML research experience in NLP and LLMs; expertise in knowledge retrieval (RAG), AI agent architecture, model training and MLOps; experience with LangChain/LangGraph or Semantic Kernel; Bachelor’s required, advanced degree preferred.
Senior Vice President, AI Enablement Lead – Network Services
Pittsburgh or Lake Mary
$104k-$186k/yrHybridFull Time
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
10+ YOEExtensive AI technology transformation experience; leadership in AI or data-driven solutions; strong governance and stakeholder management; Bachelor's in computer science or related field; 10-12 years infra experience preferred.
AI, LLMs, MLOps, GCP, infrastructure, data platforms