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Senior AI/ML Engineer designs, deploys, and monitors enterprise-scale AI systems including generative AI, vector search, and RAG pipelines using Python, TensorFlow, and MLOps tools.
Designs and deploys AI/ML models and generative AI systems for insurance back-office modernization, using Python, MLOps, and cloud-native tools.
Designs and builds generative AI applications using LLMs, RAG, and agentic flows, with Python and cloud platforms like AWS Bedrock and GCP Vertex AI.
Designs, builds, and maintains AI-powered applications using LLMs and cloud services, integrating them with enterprise systems while ensuring security and performance.
Lead a team of Android engineers at Paramount Pictures to design, build, and optimize mobile apps for content delivery, integrating AI coding tools and ML features while ensuring high performance and accessibility.
Lead the design, development, and maintenance of Android applications for a media company, integrating AI tools and collaborating with cross-functional teams to deliver high-quality, performant content platforms.
Builds and maintains scalable backend services in Go for a multimodal ML platform that processes video, images, audio, and documents, integrates LLMs via agents and MCP servers, and deploys on Kubernetes and AWS.
Build and maintain scalable backend systems in Go that power multimodal ML pipelines (video, image, document processing) and LLM-driven applications on AWS and Kubernetes.
Build and scale production-grade AI systems using LLM frameworks, vector databases (Milvus/Qdrant), and Kubernetes, deploying embeddings and containerized microservices.
Lead a team of data scientists to build and deploy AI/ML models, including LLMs and generative AI, that turn large volumes of structured and unstructured data into actionable insights for enterprise clients.
Build and deploy AI-driven cybersecurity automation tools, including agents and RAG systems, on cloud platforms to detect and respond to threats for a global financial firm.
Builds and governs the semantic data layer that makes Amazon Japan’s business data AI-ready, defining entities, metrics, and rules so both humans and AI agents can reason over them with confidence.
Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Build and deploy NLP and generative AI models to improve public services, focusing on evaluation, experimentation, and production integration using Python, SQL, and cloud AI services.
Senior engineer building and operating production-grade generative AI systems (RAG, agents, copilots) for a large investment firm, integrating with enterprise data and MLOps tooling.
Lead a team building and deploying production-grade AI systems—like copilots and agentic workflows—while coding end-to-end solutions that integrate with enterprise data and meet regulatory requirements in a large financial firm.
Senior Machine Learning Engineer builds and improves search, ranking, and personalization systems using ML and LLMs to deliver relevant content to millions of users in real time.
Senior engineer building and maintaining the retrieval pipeline for a legal-tech AI product, combining semantic and keyword search, reranking, and agentic loops to ensure accurate citations in professional advice.
Lead the AI-powered search and discovery strategy for Zalando’s fashion platform, improving relevance, ranking, and personalized shopping experiences through ML and customer insights.
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
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