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Data Scientist in McLean, VA builds and runs NLP models, analyzes large datasets, and creates reports for a government sponsor using Python, SQL, and deep learning frameworks.
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Lead end-to-end applied AI research and ML lifecycle for language models, fine-tuning, distillation, and production deployment to drive new product features and business impact.
Senior AI/ML Engineer (LLM & Generative AI) Remote Position: Senior AI/ML Engineer to support and building cutting-edge AI solutions that advance biomedical research and scientific discovery. You'll work with: Large…
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Leads end-to-end AI/ML lifecycle for language models, balancing proprietary APIs and open-source LLMs to deliver scalable, low-latency solutions aligned with business goals.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Who we are Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every…
Build and scale GPU infrastructure for training tabular foundation models, optimizing Slurm clusters on GCP and planning multi-provider expansion to support high-throughput, cost-efficient ML workloads.
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Principal Technical Product Marketing Manager, AI Solutions Description - HP is seeking a Principal Technical Product Marketing Manager to help define, position, and accelerate adoption of its AI portfolio, including…
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
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