4 ml engineer jobs at 4 companies in Boston, GA

3w
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AI Platform Engineer
Atlanta or Austin or Houston or Dallas or Miramar or Orlando or Tallahassee or West Palm Beach or Fort Lauderdale or Phoenix or Charlotte
HybridFull Time
Greenberg Traurig
Greenberg Traurig: Provides global legal representation and corporate advisory services.
7+ YOE7+ years platform engineering experience with 3+ years deploying AI/ML workloads in cloud; experience with Azure/AWS/GCP, Terraform, containers, Python/PowerShell, and AI architecture patterns.
Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, Terraform, Docker, Kubernetes, Python, PowerShell, Semantic Kernel, LangChain, REST API
1mo
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Senior Software Engineer Applied AI
Tallahassee or United States
RemoteFull Time
AMC Health
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python, cloud (AWS) experience, hands-on LLM/generative AI and ML lifecycle experience, regulated-environment discipline.
Python, AWS, LLMs, vector search, AI coding assistants
1d
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Senior Data Scientist / AI-ML & Anomaly Detection Lead
Tallahassee, Florida, United States
RemotePart Time, Contract
Chameleon Integrated Services
Chameleon Integrated Services: Provides IT systems integration and cybersecurity for federal agencies.
10+ YOERequires 10+ years of data analytics/data science, 5+ years of machine learning engineering, government-sector experience, advanced Python and SQL, model validation, audit-ready documentation, U.S. residency or citizenship, and FDLE Level II screening.
Python, SQL, Azure Databricks, MLflow, Azure Machine Learning, Microsoft Azure, SAS Enterprise Miner
5d
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Postdoctoral Research Associate-Department of Mechanical & Aerospace Engineering at the Florida A&M University-Florida State University College of Engineering
Tallahassee, Florida, United States
OnsiteTemporary, Full Time
Florida State University
Florida State University: A research university providing education and advancing knowledge across sciences, technology, arts, humanities, and professions.
Ph.D. in a relevant engineering or computer science discipline, strong AI, machine learning, computer vision, or computational science background, Python and modern ML framework skills, publications, and collaboration ability.
Python, PyTorch, TensorFlow, Scikit-learn