5 machine learning platform engineer jobs at 4 companies in Georgia
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Machine Learning Platform Engineer
Atlanta or United States
$155k-$185k/yrRemoteFull Time
PrizePicks: Operates a daily fantasy sports and player prediction platform.
3+ YOE3+ years platform engineering experience, 1+ years owning ML systems in production; experience with streaming (Kafka/Flink/PubSub), low-latency inference, MLOps, on-call, Python and Go; containerization and Kubernetes expertise.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOEMinimum 7–10+ years building applied ML products; experience with PyTorch/TensorFlow, LLMs and RAG, production ML systems, cloud platforms (AWS/GCP), and team leadership; BS required, MS/PhD preferred.
Arizona or California or Colorado or Florida or Georgia or Illinois or Indiana or Massachusetts or Michigan or Minnesota or Missouri or New Jersey or New York or North Carolina or Ohio or Pennsylvania or Texas or Wisconsin
$101k-$168k/yrRemoteFull Time
SullivanCotter: Consulting and data for healthcare and nonprofit compensation strategies.
3+ YOEBachelor's or Master's in CS/Data Science/Statistics/Math (or related experience). 3+ years relevant experience (Master's) or 5+ years (Bachelor's). Proficient in Python, ML/LLM architectures, RAG pipelines, ML libraries, cloud platforms, MLflow and Git.
Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior (Manayunk, PA, US, 19127)
Manayunk or Charlotte or San Antonio or Jacksonville or Alpharetta
$66k-$134k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOE3+ years Python and production ML deployment; hands-on LLM experience (GPT-4, Claude, Llama); agentic frameworks (LangChain, AutoGen, CrewAI); vector DBs (Pinecone, Weaviate, Chroma); cloud ML platforms and MLOps practices.
CT_NITRO Experimental AI Engineer (Alpharetta, GA, US, 30009)
Alpharetta, Georgia, United States
$93k-$173k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
8+ YOE8+ years in machine learning with experience in LLM fine-tuning, Python, ML frameworks, cloud platforms (Azure preferred), data acquisition, transformation, and model deployment; strong communication and leadership skills.