7 machine learning developer jobs at 6 companies in Lindon, UT
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Senior Engineer - Machine Learning
Midvale or New York City
HybridFull Time
Berkadia: Commercial real estate financing, investment sales, and servicing.
6+ YOE6+ years of Python-focused software development; machine learning and generative AI systems; AI agents and evaluation harnesses; cloud infrastructure, MLOps, unstructured data, Agile, and CI/CD.
Smule: Social mobile platform for music creation and collaboration.
Degree in CS or related (or pursuing), strong Python, experience with deep learning serving (TorchServe, Triton, vLLM), systems engineering knowledge (containerization, networking, monitoring), and ML production lifecycle experience.
NICENASDAQ: NICE: Provides AI-powered software for customer engagement and financial compliance.
3+ YOEMS in a related field, 3+ years experience with speech AI (ASR/TTS/speech-to-speech), expertise in evaluation and benchmarking, Python proficiency, cloud (AWS/Azure/GCP) experience, and model optimization knowledge.
University of Utah: Public research university providing higher education and clinical healthcare.
6+ YOEDesign and operate production ML systems in hybrid cloud/on-premises; experience with MLOps, security/compliance (HIPAA/NIST/FISMA), and stakeholder communication.
Senior ML Platform Engineer - Healthcare AI & Production Systems
Salt Lake City, Utah, United States
OnsiteFull Time
University of Utah Health: Provides academic medical care and health services.
5+ YOEBachelor’s degree in a relevant field and 5 years of software engineering experience. Requires C++, Python, PyTorch or TensorFlow, ML knowledge, distributed systems, testing, debugging, and on-call support.
C++, Python, PyTorch, TensorFlow, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), CUDA
CGINYSE: GIB: Provides information technology and business consulting services.
0+ YOEBachelor's degree or equivalent practical experience; up to 2 years' software, AI, or machine learning experience; Python and SQL; knowledge of ML, GenAI, LLMs, RAG, REST APIs, Docker, and AI frameworks.
Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, FastAPI, LangChain, LangGraph, Model Context Protocol (MCP), Docker, Kubernetes, Python, SQL, REST APIs, Microsoft Azure, AWS, Google Cloud, CI/CD, MLOps
Experience with Python or R, strong SQL, machine learning model development and deployment, cloud data platforms, distributed data, and translating analytics into business outcomes.