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Machine Learning Engineer
Washington or United States
$130k-$200k/yr RemoteFull Time
3+ YOE3+ years building and deploying ML systems; strong Python and PyTorch/TensorFlow skills; experience with multimodal models, MLOps (Docker, Kubernetes, CI/CD, MLflow), cloud platforms (GCP preferred, AWS/Azure), and ML evaluation/benchmarking.
Python, PyTorch, TensorFlow, Docker, Kubernetes, CI/CD for ML, MLflow, Google Cloud Platform, AWS, Azure, LangChain, LlamaIndex, OpenAI Agents, AutoGen, Retrieval-augmented generation (RAG)
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Director, Machine Learning Engineering
Palo Alto or New York City or Dallas or Bethesda or Seattle
$150k-$300k/yr OnsiteFull Time
10+ YOE10+ years engineering or AI/ML leadership experience; proven track record building scalable distributed systems and personalization platforms; expertise in RAG, context/memory architectures, and real-time inference; strong business acumen and cross-functional leadership.
Retrieval-Augmented Generation (RAG), LLMs
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Machine Learning / Data Science Engineer
Reston, Virginia, United States
$90k-$200k/yr HybridFull Time
Bachelor's or equivalent; hands-on experience with large datasets, Python/Scala, SQL/Spark/NoSQL, cloud platforms, Docker, data warehousing, LLMs, and productionizing ML systems.
Python, Scala, SQL, Spark, NoSQL, AWS, Azure, GCP, Docker, Snowflake, Databricks, Azure SQL, Amazon RDS, LLMs, GPT, Claude, Mistral, MCP, RAG, LangChain, n8n, pydantic
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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
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Lead Machine Learning / Data Science Engineer
Reston, Virginia, United States
$90k-$200k/yr HybridFull Time
7+ YOE7+ years delivering data engineering and ML solutions on cloud platforms; technical leadership; hands-on with Python/Scala, SQL, Spark, Docker, Snowflake/Databricks; experience with LLMs, prompt engineering, and productionizing ML systems.
AWS, Azure, GCP, Python, Scala, SQL, Spark, NoSQL, Docker, Snowflake, Databricks, Azure SQL, Amazon RDS, LLMs, GPT, Claude, Mistral, MCP, RAG, LangChain, n8n, pydantic
1w
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Data Scientist/Machine Learning Engineer (req-253)
Tysons, Virginia, United States
$120k-$150k/yr OnsiteFull Time
3+ YOEActive Secret clearance, Bachelor's degree required (MS/PhD preferred), minimum 3 years relevant experience, excellent Python and applied ML skills, strong math background, experience with scalable ML and cloud platforms.
Python, MapReduce, Amazon AWS, Microsoft Azure, Google Cloud Services, IaaS, PaaS, LLM tools
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Senior Data Architect / Data Scientist
Arlington, Virginia, United States
OnsiteFull Time
8+ YOEBachelor's degree in a related field, 8+ years in data engineering/science/analytics, active Secret clearance required; experience with cloud data platforms, machine learning frameworks, and supporting DoD/federal customers preferred.
AWS, Azure, Databricks, Microsoft Word, Microsoft Excel, Microsoft Office
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Lead Data Architect
Herndon, Virginia, United States
OnsiteFull Time
8+ YOE3+ MgmtBA/BS in CS or related, AWS Certified Machine Learning Specialty, 8+ years data engineering/platform experience with 3+ years in an architect/lead role; hands-on Databricks, PySpark, Python, ML/LLM pipeline and MLOps experience.
Databricks, Unity Catalog, Delta Lake, PySpark, Databricks Jobs, Spark SQL, MLflow, FAISS, Pinecone, Weaviate, Milvus, Databricks Runtime, Python, PyTorch, TensorFlow, Hugging Face transformers, AWS, Parquet, AVRO, Terraform, Jenkins, GitHub Actions, GitLab CI
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Senior Data Architect / Data Scientist
Arlington, Virginia, United States
OnsiteFull Time
8+ YOEBachelor's degree in a related field, 8+ years in data engineering/science/analytics, active Top Secret clearance, experience with machine learning frameworks, cloud platforms (AWS/Azure), and supporting DoD/federal customers; strong communication and Microsoft Office skills.
AWS, Azure, Databricks, Microsoft Word, Microsoft Excel, Microsoft Office