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Build and ship recommendation models that power a personalized shopping feed, using ML to learn user taste from sparse signals and scale across millions of products.
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
Designs, builds, and deploys scalable ML models and pipelines for Disney’s media/commerce platforms, focusing on production-grade systems, MLOps, and cross-team collaboration.
Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
Site: Massachusetts Eye and Ear Infirmary Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our…
Senior Java Developer working across the SDLC to design, code, debug, test and implement payment technology applications, collaborating with business and technology teams on internal and external client solutions.
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.
The AI Engineer develops and maintains artificial intelligence solutions, including machine learning models and algorithms, to support U.S. government and defense missions. The role requires proficiency in Python, deep learning frameworks, and data analytics to drive automation and decision-making.
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.
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.
AI Engineer building and scaling end-to-end AI systems—LLMs, generative AI, recommendation systems—from experimentation through production deployment using Python, C++, and deep learning frameworks at DIDI Mobility.
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