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Research and prototype AI/ML-driven analytics to speed up high-fidelity simulations, using PyTorch/TensorFlow and optimization techniques in a Linux-based environment.
Build and deploy AI-powered applications for U.S. government clients, integrating LLMs, vector stores, and microservices across the full stack.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
Build and evaluate NLP models using Python, PyTorch/TensorFlow, and Hugging Face Transformers to classify text and extract insights for government-focused missions.
Build and maintain AI-driven trading models and data pipelines for a quantitative hedge fund, translating research into production systems.
Senior SRE builds and maintains Voleon’s AI research compute clusters, ensuring 24/7 uptime and performance for ML workloads across on-prem and cloud using IaC, observability stacks, and SRE practices.
Build and test components for generative AI and LLM applications under supervision, including RAG pipelines and prompt engineering, using Python and ML frameworks.
Builds and integrates software for autonomous surface vessels, focusing on perception, navigation, and control systems using C++/Python and robotics frameworks like ROS.
Build and deploy AI systems for enterprise customers, handling ML infrastructure, DevOps, and end-to-end AI application deployment from GPU stacks to front-end interfaces.
Build and scale ML systems for search, recommendations, and LLM-powered assistants that help teachers plan lessons and personalize learning in K–12 education.
Lead the design, development, and deployment of ML models to automate healthcare operations, ensuring measurable impact on workflow efficiency and patient care.
Build production-grade ML systems that detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy AI/ML models to modernize British Army training, integrating them into secure systems and automating workflows with Python, ML frameworks, and MLOps tooling.
Build and deploy ML models and Generative AI solutions to solve business problems, using Python, PyTorch, and cloud tools in a product-focused team.
Build and deploy ML/AI models (traditional and generative) in Python/R/SQL, lead end-to-end projects, and mentor teams to drive business outcomes.
Builds and deploys ML models (regression, clustering, classification) on large datasets using Azure Databricks and PySpark to generate business insights and product features for Zebra’s smart solutions.
Develop and optimize computer vision algorithms into production-ready code for embedded systems, focusing on performance and hardware constraints using C/C++/Python.
Build and deploy advanced agentic AI systems for healthcare, translating LLM research into scalable, low-latency clinical applications that reduce administrative burdens.
Principal Solutions Architect designs and advises on AI, ML, and HPC infrastructure, connecting DDN’s data platform to customer challenges to improve performance and accelerate insights.
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