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Embed with enterprise customers to prototype and deploy full-stack AI/ML applications, advising on architecture and operationalizing GenAI/agentic systems on Cloudera’s platform.
Senior data scientist building ML models and analytics to improve aerospace systems and operations, integrating solutions into customer environments.
Senior data scientist building ML models to optimize aerospace systems and weapon system operations, integrating solutions into customer environments.
Build and deploy ML models for aerospace systems, analyzing operational data to improve weapon system effectiveness and integrate AI into distributed data environments.
Operate and maintain Dataiku and Databricks environments for the American Red Cross, moving AI/ML projects from development to production and ensuring pipeline health.
Build and deploy production-grade AI/ML models (e.g., GenAI, forecasting, classification) using Python and Azure ML, then monitor and retrain them in live systems.
Secures AI/ML systems by identifying and mitigating risks like adversarial attacks, data poisoning, and prompt injection across models, pipelines, and cloud deployments.
Assess and mitigate security risks in AI/ML systems, including adversarial attacks and data poisoning, while implementing controls across the AI lifecycle.
Principal Data Architect designs and leads enterprise-scale cloud data platforms (Databricks, AWS, Azure) to enable AI, analytics, and healthcare data solutions at a global medical technology company.
Lead enterprise architecture for a U.S. government agency, designing cloud, AI/ML, and DevSecOps solutions while ensuring RMF/SRG/STIG compliance and aligning tech with strategic goals.
Designs and maintains scalable data pipelines for IoT and operational data using Spark, Delta Lake, and cloud technologies to enable analytics and reporting in the oilfield services industry.
Lead a team to design and scale AI/ML and MLOps platforms that power RBC’s credit decisioning and risk management systems using distributed data processing, cloud infrastructure, and real-time inference.
Senior Machine Learning Engineer building and optimizing generative AI services for Adobe’s Firefly suite, integrating models into products like Photoshop and Premiere using PyTorch, CUDA, and Kubernetes.
Designs, secures, and automates cloud infrastructure for a DoD-compliant environment, focusing on CI/CD, container orchestration, IaC, and FedRAMP High/DoD IL5 security controls.
Lead a team to build and govern trustworthy AI systems at scale, defining quality standards, evaluation platforms, and governance controls for generative AI and agentic products.
Principal AI Engineer at Verizon, leading complex propensity models to predict customer behaviors and churn, empowering marketers and driving customer retention.
Lead a team to design, build, and deploy advanced computer vision and sensor-fusion algorithms for geospatial-intelligence missions, using deep learning, CUDA, and real-time tracking in Python/C++.
Designs and deploys production-ready AI systems, especially NLP and recommender models, using cloud platforms like AWS and Azure, while leading a small team of AI engineers.
Senior Data Engineer building distributed data systems and ML pipelines for aerospace/defense systems, integrating models into customer environments using Python, cloud platforms, and MLOps tooling.
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
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