8 machine learning platform engineer jobs at 7 companies in Braselton, GA
2w
Save
Mark Applied
Hide
2w
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.
SR. Machine Learning Engineer, Enterprise AI Systems
Atlanta, Georgia, United States
$100k-$180k/yrRemoteFull Time
The Home DepotNYSE: HD: Retailer of home improvement products and construction materials.
2+ YOERequires legal U.S. work authorization, high school diploma/GED, and at least 2 years of experience; preferred experience includes production AI/ML, Python, modern ML frameworks, cloud platforms, data pipelines, and software engineering.
Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labas
Atlanta, Georgia, United States
$170k-$220k/yrHybridFull Time
BlackRockNYSE: BLK: Provides investment management and financial technology services globally.
Develops and deploys AI/ML solutions using machine learning frameworks, programming languages, deep learning, NLP, computer vision, cloud ML platforms, MLOps, and statistical analysis.
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.
Agentic AI / Machine Learning Architect - Senior Principal
Atlanta or Boston or Charlotte or Miami or New York City or Philadelphia or Washington
OnsiteFull Time
Slalom: Provides business and technology consulting and software engineering services.
9+ YOERequires 9+ years implementing production AI/ML solutions, 5+ years in consulting or IT services, strong Python and cloud AI platform skills, enterprise architecture expertise, and experience leading client-facing delivery teams.
AWS, Azure, Google Cloud, Amazon Bedrock, Azure AI Foundry, Google Vertex AI, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, Hugging Face, Python, APIs, Databricks, Snowflake, Spark, Kafka, dbt, Kubernetes, CI/CD
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
6+ YOERequires 6+ years developing AI/ML solutions, programming in Python, R, or Java, machine learning frameworks, data analysis, cloud platforms, and strong communication skills.
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.