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Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
Lead the enterprise rollout of GitHub Copilot and build AI agents/agentic workflows to accelerate software delivery at FIS, using LLMs, Python, LangChain, and cloud platforms.
Graduate-level co-op Data Scientist at Philips supporting the development, analysis, and validation of machine-learning workflows for clinical imaging software in the Image Guided Therapy Devices group.
QA intern on the Spark RAPIDS team responsible for GPU software testing, test automation infrastructure development, and web services for NVIDIA's deep learning frameworks and GPU workloads.
The Principal Automation & AI Engineer leads the development of intelligent automation, AI/ML models, and operational analytics to support global infrastructure and cloud governance. The role focuses on building scalable AI-powered workflows, APIs, and self-service capabilities to drive operational efficiency and data-driven decision-making.
The Senior Solutions Architect leads technical strategy and proposal development for complex government and defense projects. The role involves designing software architectures, managing capture pursuits, and collaborating with cross-functional teams to deliver cloud-native and AI-driven solutions.
Lead a team of data scientists at LSEG in Bangalore to design, deploy, and optimize production-grade AI/ML solutions—including NLP, LLMs, and RAG—using Python, TensorFlow/PyTorch, and Azure/AWS for financial analytics workflows.
Senior Solutions Architect leading technical solution design for complex government capture pursuits and proposals at GDIT, architecting cloud-native and AI/ML solutions with a hybrid schedule in Falls Church, VA.
Leads AI/ML engineering for BlackRock’s asset management, designing and deploying generative AI, predictive modeling, and optimization systems at scale in production environments.
This role involves leading the design and deployment of production-grade AI and machine learning systems, including generative AI and intelligent agents, to support BlackRock's asset management operations. The engineer will build scalable AI platforms and infrastructure while collaborating with cross-functional teams to drive technical strategy.
This role involves developing and deploying advanced AI and agentic workflows to solve complex financial and operational challenges at BlackRock. The position requires a strong background in machine learning and data science to lead the full lifecycle of AI solutions from research to production.
Cloud and AI Security Engineer at Axos Bank in Manila, building security frameworks for AI/ML platforms, LLM applications, and multi-cloud infrastructure (AWS, Azure, GCP), focusing on AI-specific threat mitigation like prompt injection, adversarial attacks, and RAG security.
The Principal Applied AI Engineer will design and implement AI-driven agents and conversational workflows to optimize contact center operations for GE Appliances. The role involves architecting scalable solutions using LLMs, RAG, and cloud infrastructure to automate customer service interactions and transactional processes.
The Senior Software Engineer II will design, develop, and deploy scalable AI-powered solutions by integrating machine learning models into production environments. The role focuses on MLOps, API development, and optimizing AI workflows using technologies like Python, Docker, Kubernetes, and various cloud AI services.
The Python Developer will design and maintain AI-driven applications and data pipelines for financial sector clients using Python, PyTorch, LangChain, and cloud-native technologies. The role involves working in an Agile environment to build scalable backend services and integrate Generative AI solutions.
The Algorithm Engineer will design, optimize, and deploy deep learning and generative AI models for image processing and computer vision applications within semiconductor process control. The role involves the full project lifecycle, focusing on model performance, efficiency, and deployment using frameworks like PyTorch or TensorFlow.
Senior AI Engineer at Chubb Life Taiwan designing and deploying production-ready AI applications (LLMs, RAG, MLOps) in Python, while mentoring engineers and collaborating with a global AI team.
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
Lead an AI For Technology team at JPMorganChase's Commercial and Investment Bank, applying AI/ML techniques (LLMs, GenAI, agentic workflows) to software engineering workflows using Java and Python.
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