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Design and implement enterprise-scale generative AI solutions for clients, collaborating with cross-functional teams to align AI projects with business goals.
Builds and deploys Generative AI apps and intelligent automation for a financial-services firm, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy AI/ML models for mission-critical government programs, integrating them into secure platforms and shaping certification policies.
Design and deploy ML models for classification, prediction, and optimization using Python and cloud platforms, collaborating with teams to solve real-world problems in energy, finance, and more.
Designs enterprise AI solutions on cloud platforms, aligning architecture, security, and data governance with business needs using AI frameworks like TensorFlow/PyTorch.
Designs and implements AI/GenAI solutions for clients, leads proof-of-value sprints, and transitions AI workloads to production on Dell’s infrastructure.
Build and deploy AI/ML models across commercial, space, and defense sectors using Python, TensorFlow, and PyTorch.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Build and deploy AI/ML models to automate workflows and improve efficiency for client projects using Python, TensorFlow, and PyTorch.
Build and improve AI models for proactive human-AI collaboration using machine learning, data mining, and statistical analysis in a cutting-edge product team.
Build and optimize distributed ML training and low-latency inference pipelines for real-time trading models using PyTorch/TensorFlow and GPU acceleration.
Build and deploy ML/DL models for signal processing and data fusion to support national security systems, using Python, PyTorch/TensorFlow, and Linux.
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Build and optimize ML models for proactive intelligence using Python, TensorFlow, PyTorch, and scikit-learn, collaborating with engineers to deploy models at scale.
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