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Lead the design and deployment of enterprise-scale AI and data pipelines for a fintech company, using LLMs, agentic AI, and cloud services like AWS and Snowflake to automate mortgage securitization workflows.
Design and automate cloud infrastructure for a fintech platform that securitizes mortgages, using AWS, Python, and CI/CD pipelines to ensure reliability, security, and scalability.
Build cloud-native backend services for a real-time IoT telematics platform using Java, Spring Boot, AWS, Kafka, and Kubernetes to process millions of device data streams.
Lead AI/ML engineer at Nike building scalable prediction and optimization models in Python on AWS, mentoring teams, and owning ML solutions from conception to production.
Principal AI/ML Engineer at Nike builds and deploys scalable ML and generative AI solutions in Python on AWS, leading end-to-end projects from modeling to production.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a…
Build and deploy AI/ML models and GenAI applications for a large financial-services company, including data pipelines, APIs, and cloud infrastructure on AWS/GCP.
Build and deploy AI/ML models and data pipelines to power financial services for military members, using Python, SQL, Java, and cloud platforms like AWS.
Designs and deploys AI-driven document intelligence pipelines on AWS, specializing in ML models for document classification, segmentation, and field extraction using Python, TensorFlow/PyTorch, and GenAI tools like RAG and multi-modal models.
Build and lead ML systems that power Toast’s restaurant-focused AI products, focusing on scalability and real-world business impact.
Design and deploy ML-driven pricing, trading, and client analytics models for BBVA’s FX business using Python, PySpark, and cloud tools.
Applies advanced analytics and research to improve the well-being of Special Operations Forces members and their families using data-driven solutions.
Design and advise on large-scale generative AI and agentic architectures for AWS customers, leveraging LLMs, RAG, and agent frameworks while producing technical content to drive adoption.
Build and maintain ML infrastructure and pipelines to move models from experimentation to production using SageMaker and best practices.
The Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting and Risk Scoring, and Portfolio…
Build and deploy ML models to forecast demand and optimize product assortment in Decathlon’s supply chain using Python, TensorFlow/PyTorch, and MLOps tooling.
Build AI agents and LLM-driven features for NOS, the AI platform that powers next-gen nuclear reactor construction, including retrieval, evals, and time-series models.
Build AI features and agents for a nuclear-energy startup’s operating system, shipping models for site evaluation, scheduling, and anomaly detection used by reactor construction teams.
Build AI agents and LLM-driven workflows for a reactor-construction OS used by teams deploying next-gen nuclear plants, shipping models and features to production.
Sales Engineer designs AI/ML architectures for clients, scopes engagements, and translates business problems into technical solutions, specializing in GenAI systems like RAG and agentic workflows.
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