10 ml infrastructure engineer jobs at 7 companies in Trumbull, CT
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Lead ML Engineer
Englewood Cliffs, New Jersey, United States
$190k-$210k/yrHybridFull Time
VersantNasdaq: VSNT: Operates cable television networks and digital media entertainment platforms.
8+ YOERequires 8–12+ years in machine learning, applied AI, and distributed systems; production ML experience; Python, ML frameworks, cloud infrastructure, LLMs, retrieval systems, and cross-functional leadership.
Associate Manager, Production AI/ML Engineering, Advanced Informatics
Tarrytown or Armonk or Warren
$110k-$179k/yrOnsiteFull Time
Regeneron PharmaceuticalsNASDAQ: REGN: Discovers and develops medicines for serious diseases.
7+ YOEBachelor's (Master's preferred) and 7+ years building and operating enterprise ML/platform infrastructure on AWS; Kubernetes, Python, SQL, API, Postgres, MLOps tooling, and informatics experience preferred.
Senior Software Engineer - Platform and Infrastructure
Glendale or Seattle or Bristol
$142k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOEBachelor's in computer science or related field, 5+ years technical experience, hands-on ML and production-grade software development, API integration, defensive application design, and strong technical communication.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, and cloud infrastructure skills; experience shipping AI/agentic systems and owning production reliability.
Senior Software Engineer - Platform and Infrastructure
Glendale or Seattle or Bristol
$142k-$190k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor's degree in computer science or related field, 5+ years technical experience, hands-on ML methods, production software development, API integration, defensive design/cybersecurity, and strong technical communication.
KSL Capital Partners: Private equity firm investing in travel and leisure businesses.
5+ YOEBachelor’s degree in a technical or related field and 5+ years in data engineering, architecture, or related roles; requires Snowflake, SQL, dbt, pipeline, API, and AI/ML data infrastructure experience.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
10+ YOE10+ years building large-scale distributed systems with strong experience in LLM systems, agentic workflows, cloud infrastructure, and production ML/AI tooling.
Hartford or Washington or Tampa or Atlanta or Boston or Charlotte or Trenton or New York or Philadelphia or Pittsburgh
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOESenior technical pre-sales architect with 10+ years of experience designing AI/ML infrastructure and platforms, hands-on NVIDIA and cloud experience, strong presentation and whiteboarding skills, and a bachelor’s degree in computer science, engineering, or related field.
NVIDIA DGX, NVIDIA HGX, CUDA, NVIDIA AI Enterprise (NVAIE), NeMo, Omniverse, AWS, Microsoft Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, Advanced Technology Center (ATC), MLOps
GartnerNYSE: IT: Provides business research and advisory services to organizations.
10+ YOERequires 10+ years of IT infrastructure or cloud engineering experience, senior leadership in global enterprises, AWS/Azure/GCP expertise, DevOps, IaC, CI/CD, FinOps, and a bachelor's degree.
AWS, Azure, Google Cloud, Infrastructure-as-Code (IaC), CI/CD, Large Language Models (LLMs), AI, ML
AI Solutions Architect - Global Financial Services
Hartford or Washington D.C. or Tampa or Atlanta or Boston or Charlotte or Trenton or New York or Philadelphia or Pittsburgh
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOE10+ years in technical pre-sales or solutions architecture; bachelor's in CS/engineering; hands-on AI/ML infrastructure experience; NVIDIA and cloud platform knowledge; strong presentation and whiteboarding skills.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, Advanced Technology Center (ATC), NVAIE