2mo
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MLOps Engineer
Arlington, Virginia, United States
OnsiteFull Time
5+ YOE5+ years in MLOps/DevOps with AI/ML systems; production deployment using MLflow/Kubeflow/cloud platforms; strong observability and security practices.
MLflow, Kubeflow, AWS SageMaker, Azure ML, Prometheus, Grafana, Kibana, ELK Stack, OpenTelemetry, Docker, Kubernetes, GitHub Actions, Jenkins, InfluxDB, TimescaleDB, Evidently AI, Alibi Detect, Plotly, Seaborn, Python, SQL
4mo
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DevOps/MLOps Engineer
Ashburn, Virginia, United States
HybridFull Time
4+ YOEUS citizenship; 4+ years in DevOps/SRE/MLOps; Bachelor's or higher in CS/Engineering/IT; CI/CD (Jenkins, GitLab CI/CD, GitHub Actions); IaC (Terraform, CloudFormation, Ansible); cloud (AWS/Azure/GCP); Docker/Kubernetes; monitoring/logging; security in regulated/federal environments; local to Ashburn, VA.
Jenkins, GitLab CI/CD, GitHub Actions, Terraform, CloudFormation, Ansible, AWS, Azure, GCP, Docker, Kubernetes, Prometheus, Grafana, ELK, MLflow, SageMaker, Python, Go
1mo
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Lead ML Ops engineer
Arlington or Nashville or Racine or Tempe or Austin or Orlando or Fort Worth or Naples
OnsiteFull Time
6+ YOE6 years relevant experience, Bachelor's degree required, experience in MLOps/DevOps and enterprise AI platforms, supervisory experience preferred, advanced Python and multi-language platform experience, cloud architecture and AI system observability expertise.
Python, JavaScript, TypeScript, .NET
1mo
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Machine Learning Operations (MLOps) Engineer
College Park, Maryland, United States
$150k-$225k/yr OnsiteFull Time
3+ YOEBachelor's in CS/Engineering/Data Science, 3+ years experience in software/data/MLOps, proficiency with ML frameworks (PyTorch, TensorFlow), pipeline tools (Airflow, Kubeflow), Python, Docker, Kubernetes, cloud platforms, and ability to obtain U.S. security clearance.
PyTorch, TensorFlow, Airflow, Kubeflow, Python, Docker, Kubernetes, AWS, Azure, GCP, Terraform, CloudFormation, CI/CD
3mo
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AI Systems Engineer
Chantilly, Virginia, United States
OnsiteFull Time
9+ YOEActive Top Secret clearance with polygraph; extensive AI/ML systems engineering experience; proficiency in ML frameworks and cloud services; strong data modeling and DevOps/MLOps experience.
TensorFlow, PyTorch, Python, R, AWS, Azure, Google Cloud, CI/CD, MLOps
2w
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AI Engineer - Top Secret
Alexandria, Virginia, United States
$131k-$237k/yr OnsiteFull Time
12+ YOE12+ years in data science/analytics with AI/ML production engineering, active Top Secret clearance with TS/SCI eligibility and polygraph, experience with MLOps, Kubernetes, Python, and deploying AI systems.
LLMOps, MLOps, RAG architectures, Kubernetes, OpenAI-compatible APIs, Python, LangGraph, Semantic Kernel, vLLM, Ollama, Ray, NVIDIA, Vector databases, Azure/C2S
3mo
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Senior AI Systems Engineer
Chantilly, Virginia, United States
OnsiteFull Time
14+ YOESenior AI/ML systems engineer with TS/Poly clearance, 5+ years AI/ML, cloud AI/ML experience, ML frameworks, data pipelines, DevOps/MLOps, strong communication.
TensorFlow, PyTorch, Python, R, AWS, Azure, Google Cloud, CI/CD, MLOps
1mo
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Sr. Forward Deployed Engineer - Financial Services
Washington or California or San Francisco
$181k-$248k/yr RemoteFull Time
6+ YOE6+ years in data engineering/platforms or software engineering; strong coding (Python, Scala, JavaScript/TypeScript); cloud experience (AWS/Azure/GCP); deep Apache Spark knowledge; CI/CD and MLOps experience; customer-facing delivery; Databricks Certification preferred.
Python, Scala, JavaScript, TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD, MLOps, Databricks, MLflow, Delta Lake
1mo
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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
1w
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Staff Data Platform Engineer
Austin or New York City or San Francisco or Arlington or United States
$194k-$270k/yr HybridFull Time
7+ YOE7+ years in data platform or infrastructure; strong Python skills; experience with CI/CD, IaC, Kubernetes, analytics stacks, MLOps, Airflow/Kafka; mentorship and systems design experience.
Python, CI/CD, Infrastructure as Code, Kubernetes, Snowflake, dbt, Looker, MLOps, Airflow, Kafka
1w
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Sr. Systems Engineer III (6706)
Herndon or Reston or Tysons Corner
$166k-$202k/yr HybridFull Time
10+ YOEActive TS/SCI with CI Polygraph,10+ years technical leadership,advanced degree preferred,hands-on AI/ML,MLOps,data pipelines,AWS/Azure,containerization,DoDAF and SAFe experience.
MLOps, DoDAF, SAFe, AWS, Azure
2d
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LLMOps Engineer
McLean, Virginia, United States
$115k-$145k/yr OnsiteFull Time
3+ YOE3+ years LLM/MLOps or related engineering experience, Bachelor’s/Master’s in CS or related, proficiency in Python, experience with containerization, cloud platforms, CI/CD, and LLM tools; ability to obtain Public Trust.
Python, Hugging Face Transformers, LangChain, LlamaIndex, Docker, Kubernetes, AWS, Azure, GCP
1mo
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Staff Machine Learning Engineer
North Bethesda or Waltham
$200k-$220k/yr HybridFull Time
6+ YOESenior ML engineer owning end-to-end ML systems, with cloud, MLOps, Python, and scalable backend experience.
Python, TensorFlow, PyTorch, AWS, Kubernetes, Terraform, GitHub Actions
1mo
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Senior AI/ML & Data Engineer
Chantilly, Virginia, United States
$100k-$203k/yr HybridFull Time
5+ YOE5+ years in AI/ML engineering, cloud data engineering, Python and ML frameworks, LLM development, MLOps, and secure environments.
SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace Transformers, PyTorch, TensorFlow, Scikit-learn, OpenAI, Anthropic, AWS, GCP, Terraform, CloudFormation, Jenkins, GitLab, Docker, Kubernetes, FedRAMP, NIST 800-53, Zero Trust
1mo
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Lead AI / ML Engineer (TS/SCI)
Washington, District of Columbia, United States
OnsiteFull Time
Active TS/SCI clearance and U.S. citizenship required; advanced degree (Master's/PhD) preferred; senior-level experience leading end-to-end AI/ML and MLOps in secure or federal environments required.
MLOps, Kubernetes, OpenShift, Platform as a Service (PaaS), LLMs, Transformer architectures, Reinforcement Learning, DevSecOps
4d
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Systems Engineer 3 (AI-focused)
Annapolis Junction, Maryland, United States
OnsiteFull Time
Active TS/SCI with Full Scope Polygraph, experience in systems engineering, cloud (AWS) and AI/ML system design, ML pipeline and MLOps, system security on classified systems, and strong stakeholder communication.
AWS, Amazon SageMaker
1mo
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AI Engineer
Washington, District of Columbia, United States
$142k-$236k/yr OnsiteFull Time
7+ YOE7+ years AI/ML production engineering experience, strong Python, TensorFlow/PyTorch, MLOps/LLMOps, Kubernetes with GPU optimization, Azure ecosystem experience, and ability to obtain TS/SCI with polygraph.
Python, TensorFlow, PyTorch, Kubernetes, MLOps, LLMOps, OpenAI-compatible APIs, LangGraph, Semantic Kernel, Ray, NVIDIA GPU, Azure OpenAI, Azure Synapse, Databricks, Azure Security Center
1mo
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Staff AI/ML Engineer
Chantilly or Manassas
HybridFull Time
5+ YOEBachelor's in a technical field, 5+ years AI/ML or related engineering experience, strong Python and MLOps experience, cloud (Azure/AWS/GCP), Spark/Databricks, AI testing/evaluation, and customer-facing communication skills. Secret clearance required or attainable.
Python, Jupyter Notebook, Apache Spark, Databricks, TensorFlow, PyTorch, Hugging Face, LangChain, Semantic Kernel, CrewAI, AutoGen, Kubernetes, Docker, Microsoft Azure AI Services, AWS SageMaker, Google Vertex AI, Vector databases, MLflow, GitLab, GitHub
1mo
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Senior AI Platform Engineer
Columbia, Maryland, United States
$150k-$165k/yr OnsiteFull Time
10+ YOEBachelor's (+12 years) or Master’s (+10 years) in CS/Engineering/Data Science, TS/SCI w/CI Poly, experience with AI/ML platform engineering in government/defense, familiarity with Microsoft Azure and AWS, containers, APIs, identity/security, and platform observability.
Microsoft Azure, Amazon Web Services (AWS), Azure AI services, AWS AI/ML services, Microsoft enterprise services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, APIs
2mo
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Sr. Site Reliability Engineer
Washington, District of Columbia, United States
OnsiteFull Time
Kubernetes, Docker; MLOps tools; Python, Bash; Go a plus; data systems; networking; IaC; CI/CD; monitoring; on-call readiness.
Kubernetes, Docker, Kubeflow, Vertex AI, MLflow, DVC, Python, Bash, Go, BigQuery, Pub/Sub, Pinecone, Milvus, Istio, Anthos, Terraform, Pulumi, GitHub Actions, ArgoCD, Prometheus, Grafana, Google Cloud Operations Suite, SLA/SLO, K8s (GKE), Vertex AI Endpoints, Kubeflow Pipelines
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