PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
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.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Node.js, Python, Elasticsearch, Redis
1mo
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MLOps Engineer, Mid
Chantilly or Alexandria or Annapolis Junction or Aurora
$78k-$176k/yr OnsiteFull Time
OOP with Python; containerized apps; cloud tech (AWS); MLOps CI/CD; ML lifecycle; TS/SCI with polygraph; HS diploma/GED; can obtain Security+ CE/SSCP/CCNA-Security/GSEC within 6 months.
Python, AWS, SageMaker, Lambda, API Gateway, DynamoDB, S3, IAM, Kubernetes, Helm, Terraform, Git
3w
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AI Platform Engineer (PPA - 008)
Columbia, Maryland, United States
OnsiteFull Time
10+ YOEActive TS/SCI with polygraph required. 10–12+ years experience (10 with Master's, 12 with Bachelor's) in computer science/engineering/IS or related; experience with Azure AI, AWS AI/ML, Kubernetes, Docker, MLOps, DevSecOps, IaC, and secure government cloud environments.
Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, platform observability tools
1mo
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AI Platform Engineer
Hanover, Maryland, United States
$91k-$211k/yr OnsiteFull Time
10+ YOEActive TS/SCI with Polygraph; 12 years experience with a Bachelor's or 10 years with a Master's in CS/Engineering/Information Systems (or related); experience with AI/ML platform, cloud (Microsoft Azure, AWS), containers, identity/security, and secure government environments.
Microsoft Azure, Microsoft Azure AI services, Microsoft enterprise services, Amazon Web Services (AWS), Amazon Web Services AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code
1mo
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AI Platform Engineer – Senior
Columbia, Maryland, United States
OnsiteFull Time
12+ YOERequires 10–12+ years experience with a relevant degree, experience with AI/ML platform engineering in government or enterprise, familiarity with Microsoft and AWS ecosystems, cloud architecture, containers, identity/security, and strong communication skills.
Microsoft Azure, Amazon Web Services (AWS), Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, Microsoft enterprise services
2mo
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AI/ML Security Integration Engineer
Annapolis Junction, Maryland, United States
OnsiteFull Time
10+ YOEActive TS/SCI with Poly; 10+ years technical experience; LLM/RAG, Python, secure AI deployment; gov/cloud
Python, GPT-4, Claude, Llama, AWS Bedrock, Azure OpenAI, Vector databases, Semantic search, RAG, MLOps, NLP
1mo
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SETA AI Platform Engineer
Annapolis Junction, Maryland, United States
$192k-$206k/yr OnsiteFull Time
12+ YOESETA AI Platform Engineer with 12+ years (Bachelors) or 10+ years (Masters) in CS/Engineering/IP/Others; experience with AI/ML, cloud, platform engineering in government/enterprise; strong Azure/AWS knowledge; containerization, APIs, IAM, security; excellent communication; proactive and mission-focused.
Azure, AWS, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, Platform observability
1mo
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PLATFORM ENGINEER - AI - 12+ yrs of Experience - TS/SCI w/Poly clearance is required - PP
Columbia, Maryland, United States
$235k-$242k/yr OnsiteFull Time
12+ YOEAI platform engineering in government/secure environments; TS/SCI with Poly; 12+ years experience; Azure/AWS familiarity; cloud and security focus.
Azure, AWS, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, Platform observability tools