384 model deployment engineer jobs at 258 companies in United States
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years engineering experience in applied ML/GenAI, production ML engineering, MLOps, model deployment, security and integration; bachelor in computer science required.
SymphonyAI: Enterprise AI applications for retail, finance, and industrial sectors.
Hands-on experience with GitHub, YAML, Helm, Kubernetes, Bash, SQL, and XML; familiarity with SAML/SSO, REST APIs, networking, CI/CD, and basic ML model deployment; strong client communication and project management skills.
Tiger Analytics: Provides AI and advanced analytics consulting for global enterprises.
Deploy and scale Gen AI models; build multi-cloud infrastructure; design data pipelines and vector database architectures; AI safety and prompt engineering guidance; collaborate with enterprise clients on deployment and optimization; strong Python/Go coding skills.
Hiring.Cafe: An AI-powered job search engine and aggregator.
Experience deploying and optimizing deep learning models in production, multi-GPU inference, profiling/benchmarking model performance, inference optimization techniques, and cloud/distributed systems familiarity.
Graham Packaging: Manufactures custom plastic containers for various consumer industries.
20+ YOEEngineering bachelor\u0002s degree, ~20 years manufacturing experience, CAD/AutoCAD and 3D modeling experience, strong understanding of electrical/mechanical systems and utilities, plastics/blow molding experience, advanced Excel and MS Project skills.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
3+ YOE3+ years in model optimization/deployment; strong PyTorch, quantization/ compression experience; familiarity with hardware-aware deployment; numerical optimization knowledge.
The Nuclear Company: Deploys standardized nuclear reactors for utility-scale energy generation.
8+ YOE8+ years in FP&A, project or construction finance; bachelor’s in finance/accounting/engineering or equivalent; EPC contract and multi-project portfolio experience; advanced Excel and financial modeling skills.
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering or computer science degree, 2+ years in technical client-facing/implementation roles, experience in data modeling and AI/ML, proficiency with formulas and structured modeling, programming (Python/SQL), and APIs/data pipelines.
PalantirNasdaq: PLTR: Developing software platforms for data integration and analytics.
4+ YOE4+ years software engineering experience; engineering background (CS, Math, Software Eng, Physics); strong coding in Java/C++/Python/Rust/Go; experience with containers and Kubernetes; production deployment and debugging skills.
Applied Research Scientist / Engineer - Deployment
Palo Alto, California, United States
OnsiteFull Time
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
Strong ML research and engineering skills with hands-on experience fine-tuning or adapting large models; translate customer requirements into model adaptations; customer-facing applied research or solutions engineering experience; staff-level/ senior execution expectations.
General Dynamics Mission SystemsNYSE: GD: Designs and manufactures defense and mission-critical technology solutions.
2+ YOEBachelor's in engineering or equivalent plus 2 years' relevant experience (or Master's); Department of Defense Secret clearance obtainable; strong requirements management, system modeling, and customer-facing skills.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
0+ YOEIntern to support optimization and deployment of multimodal models onto vehicle-grade compute; strong CS/EE/ robotics background; hands-on C++/Python; DL frameworks; model optimization and edge deployment.
OpenAI: Develops artificial intelligence models and generative AI software services.
Proven experience leading engineering teams, shipping production systems at scale, and owning model deployment, experimentation, and measurement tooling; strong communication and cross-functional collaboration skills.
Astrion: Provide engineering and mission support services to federal government agencies.
12+ YOEBachelor's degree in engineering; 12+ years in the field, 5+ in DoD; strong systems engineering, requirements, architectures, modeling; US citizen.
Model Based Systems Engineering, Modeling and Simulation, Network Architectures, Cloud Deployment, Virtualization, Configuration Management
Black Forest Labs: Develops generative AI models for image and video creation.
Proven robotics engineering experience; hands-on with action/VLA models (π0/π0.5, LeRobot); customer-facing deployments, model hosting, inference/edge constraints, and strong communication skills.
8+ YOEBachelor's degree or equivalent, 8+ years software development, 5+ years in ML (speech/audio, RL, or ML infrastructure), 5+ years ML design/deployment/evaluation, 5+ years testing/launching software, 3+ years software design/architecture, experience integrating generative AI/LLM.
Large Language Model (LLM), GemPix, Gemini, Google Workspace
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
5+ YOEBachelor's in engineering/CS/data science; 5+ years (or 2+ with a Master's) in application engineering, algorithm development, or similar; experience in industrial/manufacturing environments; model lifecycle and production deployment; Python/R/C# and AI/ML familiarity.