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Creates and edits engaging video content (social media, brand campaigns, animations) using tools like Adobe Premiere Pro and After Effects, focusing on storytelling, motion graphics, and cross-platform delivery.
Design and deliver production-ready AI solutions for enterprises, including generative AI, RAG, and agentic workflows, while guiding clients from architecture to deployment.
Designs end-to-end AI/deep-learning architectures for geospatial platforms, customizing models like LLM/RAG and deploying on GPU/cloud infrastructure for defense, government, and commercial clients.
Design and govern enterprise-scale AI/ML pipelines for the VA, ensuring responsible deployment of healthcare and benefits systems while aligning with federal AI policy and standards.
Build and operate the distributed orchestration engine for AWS SageMaker’s Model Factory, enabling scalable foundation-model training and customization workflows across thousands of GPUs and Trainium devices.
Lead the architecture and team behind Inari’s data, AI, and engineering platform, integrating AWS, Kubernetes, and AI workflows to support predictive design and scientific computing for sustainable agriculture.
Build, deploy, and monitor ML models end-to-end using Python, scikit-learn, and cloud platforms to drive business impact in insurance and financial services.
Position Overview The AI Technical Architect is responsible for designing, developing, and implementing advanced artificial intelligence solutions that address critical business challenges. The role demands a deep…
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
Lead AI-driven process re-engineering at a global bank, designing agentic solutions and prototypes to automate workflows and mentor teams while bridging business needs with technical execution.
Leads AI-driven UI/UX development for healthcare products, designing and implementing human-AI interfaces (e.g., RAG, agents) in React/Next.js while ensuring accessibility, security, and measurable outcomes for Amgen’s biotech applications.
Build and deploy AI solutions for Amgen’s drug discovery and operations, integrating GenAI, RAG, agents, and MLOps in a regulated healthcare environment.
Builds and owns end-to-end AI products (e.g., RAG, GenAI agents) at a biotech firm, spanning frontend, backend, and MLOps while ensuring compliance with healthcare regulations.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Senior ML engineer building and scaling enterprise-grade AI/ML and GenAI platforms, including MLOps pipelines, model services, and full-stack applications for Amgen’s healthcare data needs.
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