6 model deployment engineer jobs at 5 companies in Derby, CT
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AI Applications Engineer (Glen Cove, NY)
Glen Cove, New York, United States
$120k-$150k/yrFieldFull Time
Standard Bots: Develops and manufactures AI-powered robotic arms for industrial automation.
Experience with robot programming and robotics, Python proficiency, surface-level ML model fluency, field deployment experience, ability to travel up to 50%, documentation and customer-training skills.
Myriad Systems: Provides integrated payment and practice management software for healthcare.
4+ YOE4+ years software engineering/AI systems experience, Bachelor's in Computer Science/Engineering, strong Python skills, model training/fine-tuning and production deployment experience, familiarity with LLM frameworks and agentic systems.
CognizantNasdaq: CTSH: Provides global information technology and business process outsourcing services.
Generative AI, LLMs, prompt engineering; hands-on with .NET, React, Python; AI/ML architecture design (RAG); model training and optimization; Azure deployment
CognizantNasdaq: CTSH: Provides IT consulting and digital business process services.
Strong experience with generative AI, LLMs and prompt engineering; hands-on development using .NET, React, Python; designing RAG pipelines, model training/fine-tuning, and Azure deployments.
CGINYSE: GIB: Provides information technology and business consulting services.
7+ YOE7+ years software engineering experience; cloud (AWS/Azure/GCP), computer vision & deep learning, Python, ML model training/deployment, PoC→MVP scaling, MLOps, and enterprise architecture collaboration.
AWS, Azure, GCP, Amazon Web Services Cloud, Google Cloud Platform, PyTorch, TensorFlow, OpenCV, Python, CUDA, Docker, Kubernetes, Spark, Databricks, MLflow, Kubeflow, SageMaker, SageMaker Pipelines, Azure ML, Vertex AI
RTXNYSE: RTX: RTX provides advanced aerospace and defense systems and services.
10+ YOESTEM degree and 10+ years experience, U.S. Person required, proficiency in Python and C++, CI/CD and DevOps, LLMs/RAG/AI frameworks, cloud deployment, and integrating models into applications.