41 model deployment engineer jobs at 29 companies in Texas
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Palantir Forward Deployment Engineer
Hartford or Indianapolis or Phoenix or Raleigh or Richardson or Rosemead or Arizona or California or Connecticut or Indiana or North Carolina or Texas or United States
$97k-$133k/yrOnsiteFull Time
InfosysNYSE: INFY: Global leader in next-generation digital services and consulting.
Bachelor's degree or equivalent experience; Palantir Foundry, Ontology, PySpark, TypeScript, data modeling, and data warehouse expertise required. Utilities domain knowledge and U.S. work authorization required.
Austin or Paris or London or New York City or Toronto or San Francisco
HybridFull Time
Pigment: French private software providing AI-powered business planning for finance, sales, HR, and operations teams.
2+ YOEEngineering/CS degree, 2+ years in technical client-facing or implementation roles, strong data modeling and AI/ML knowledge, proficiency with formulas/structured modeling; Python/SQL a plus; familiarity with APIs and data pipelines.
CiscoNASDAQ: CSCO: Global leader in networking, cybersecurity, and cloud-native technology solutions.
10+ YOEExtensive AI/ML leadership with deep learning, NLP, LLMs, large-scale model development and production deployment; strong communication and mentorship skills.
Plan and execute vibration, shock, acoustic, and thermal-vacuum tests for large deployable antenna structures; instrumentation, data acquisition, test procedures, anomaly disposition, and model-test correlation.
CloudflareNYSE: NET: Cloud-based security, performance, and reliability services for Internet applications.
Experience productionizing ML models with inference optimization, benchmarking, deployment, and reliability; proficiency in Python and modern ML frameworks; experience with GPU/accelerator optimization and distributed systems.
Shield AI: Developer of AI-powered autonomous systems for defense and aerospace.
10+ YOE10+ years experience (or equivalent with advanced degree), mastery of ML fundamentals, production CV model training/deployment, 3D vision expertise, C++/Python, PyTorch/TensorFlow, ONNX/TensorRT experience, ability to obtain SECRET clearance.
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Canada or Seattle or Santa Barbara or San Diego or Toronto
$152k-$228k/yrRemoteFull Time
Invoca: Privately held SaaS platform helping marketing, commerce, and contact-center teams convert customer conversations into revenue.
5+ YOE5+ years of ML engineering experience; advanced Python, PyTorch, and deep learning; production NLP model deployment; SLM/LLM fine-tuning; inference infrastructure; production APIs; MLOps and model monitoring.
Seattle or United States or Redwood City or Santa Clara or Austin
$126k-$264k/yrOnsiteFull Time
Oracle CorporationNYSE: ORCL: Cloud infrastructure and enterprise software solutions provider.
6+ YOE6+ years experience building and productionizing ML models; strong software engineering, model deployment, monitoring, data quality and debugging skills; stakeholder collaboration and mentoring experience.
Neurophos: Private semiconductor developing photonic AI inference chips for data centers.
5+ YOEPhD or equivalent research experience; 5+ years in ML engineering and 3+ in model optimization/deployment. Requires quantization, numerical optimization, PyTorch, transformer, LLM, and diffusion model expertise.
H2O.ai: Private AI software serving enterprises and public agencies with predictive, generative, and agentic platforms.
8+ YOE8+ years ML/AI engineering, end-to-end model development and production deployment, experience with LLM applications and enterprise engagements, strong Python and ML framework skills.
5+ YOE5+ years ML engineering experience; production deployment of ML and LLM systems (RAG, agentic workflows); strong Python and software engineering skills; experience with model serving, vector DBs, LangChain/LlamaIndex, CI/CD, MLOps, monitoring and cloud deployments.
Python, FastAPI, MLflow, LangChain, LlamaIndex, CI/CD, MLOps, Retrieval-Augmented Generation (RAG), Large Language Model (LLM), vector databases
Bastrop or Cape Canaveral or Hawthorne or McGregor or Redmond or Brownsville or Vandenberg
OnsiteFull Time
SpaceXNasdaq: SPCX: Designing, manufacturing, and launching advanced rockets and spacecraft.
1+ YOEBachelor's in CS/engineering or 2+ years experience, 1+ years full-stack development, hands-on AI model deployment/integration preferred, production software engineering experience.
Python, C#.NET, Go, Scala, Java, Docker, Kubernetes, Kafka, Angular, React, PostgreSQL, Microsoft SQL Server
Photon Interactive: Full-service digital agency driving AI-led digital transformation.
Experience building AI/ML models, recommendation and personalization systems, model deployment, and working with structured and unstructured data. Strong Python and ML framework skills required.
CognizantNASDAQ: CTSH: Global professional services providing technology and consulting 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.
Senior Software Engineer - Generative AI & ML, Customer Systems
Austin, Texas, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Experience in generative AI and ML model development, retrieval design, multi-agent prototypes, and partnering with data/platform engineers for scalable deployment and monitoring.
InfosysNYSE: INFY: Global leader in next-generation digital services and consulting.
Hands-on Core Python, MLOps and model deployment experience; cloud and Kubernetes familiarity; containerization, model optimization, monitoring (Grafana, Prometheus); Bachelor's or equiv.; authorized to work in the U.S.
Kaleidoscope Innovation: A Cincinnati-based product development consultancy helping medical, industrial, aerospace, and consumer clients bring products to market.
Hands-on experience building enterprise Generative AI and Agentic AI systems including LLMs, RAG, multi-agent orchestration, vector DBs, model serving, cloud deployments, observability, and data pipelines.
Tata Consultancy ServicesBSE: 532540: Global leader in IT services, consulting, and business solutions.
8+ YOEBachelor's degree in computer science and 8+ years' experience. Requires Python, FastAPI or Flask, AI workflows, LLMs, prompt engineering, RAG, model deployment, Docker, Git, and machine learning frameworks.
Seekr Technologies: Private American enterprise AI providing explainable, secure AI software and hardware to government and critical-infrastructure customers.
Production AI/ML platform experience, strong Python or Go skills, Docker, Kubernetes, Linux, APIs, infrastructure-as-code, model serving, security, testing, observability, and edge deployment expertise.