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Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Build and deploy ML models for UK government programmes, collaborating with engineers and stakeholders to turn data into actionable insights using Python and cloud tools.
Designs AI-driven solutions to reengineer core business processes in fintech, collaborating with stakeholders to prototype agentic systems, measure impact, and mentor future AI experts.
Build AI-native tools and agents for frontend chip design workflows using Python, C++, PyTorch, and LLMs.
Design, build, and deploy AI and analytics solutions for federal government clients, ensuring compliance with governance frameworks and integrating APIs like OpenAI and AWS Bedrock.
Own the AI Platform that routes, evaluates, and governs all model and agent workloads at Angi, improving product quality and enabling internal teams with cost controls and trust frameworks.
Lead AI platform strategy and roadmap for a fintech company, defining user-centric generative and predictive AI features while collaborating with engineering and business teams.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and deploy AI-driven products to accelerate clinical trials and improve patient outcomes using LLMs, NLP, and MLOps on AWS.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Lead MLOps infrastructure to build, deploy, and monitor production-grade ML models at scale for a biopharma company, integrating generative AI while ensuring regulatory compliance.
Senior full-stack AI engineer building LLM-based agents and retrieval systems using RAG, embeddings, and vector databases with PyTorch and AWS Bedrock.
Designs and sells AI solutions on AWS/Azure/Google Cloud, guiding clients through GenAI, LLMs, and ML deployments while translating business needs into technical architectures.
Lead Marshmallow’s Data Science team to build ML and AI solutions that drive pricing, claims, and operational decisions in a regulated insurtech/fintech, while coaching engineers and partnering with product and commercial teams.
Intern builds AI-driven workflows and guides clients on using tools like Claude and AWS Bedrock to automate knowledge work, with minimal hand-coding.
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks; work with event-driven architectures and real-time data flows.
Build and maintain cloud and on-premise infrastructure for AI systems that power Singapore’s transport network, including GPU compute, model serving, and MLOps pipelines.
Builds and maintains scalable data pipelines and cloud-based analytics platforms using Azure/AWS, Databricks, and PySpark to support data-driven solutions for enterprise clients.
Manage AWS cloud security projects for clients, designing secure architectures, assessing risks, and guiding teams through cloud transformations and AI/ML workloads.
Lead AWS cloud security projects for clients, designing secure architectures, implementing controls, and guiding teams through cloud transformation programs.
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