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Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and…
Build and deploy GenAI/NLP pipelines and RAG systems for life-science products, automating ML workflows on AWS/Azure and managing vector/graph search infrastructure.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
About ICA, Inc. ICA, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted…
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Build and deploy AI agents for supply-chain orchestration, integrating them securely with legacy systems using Python, GCP, and Vertex AI while optimizing token usage and performance.
Build and deploy AI agents for supply-chain optimization, integrating them securely with legacy systems using Python, GCP, and Vertex AI Agent SDK.
Build and deploy GenAI solutions on AWS using SageMaker, Terraform, and MLOps practices. Operate scalable endpoints with monitoring, CI/CD, and documentation.
Build and ship production-grade AI-powered applications end-to-end using React, Python, and AWS services like Bedrock and SageMaker, turning prototypes into scalable products for finance and digital assets.
Build and deploy credit risk models for a salary-linked lending fintech, using Open Banking and ML to shape underwriting decisions and lending strategy.
Lead the product strategy for Wells Fargo’s enterprise AI platform, guiding model development, deployment, and governance to deliver secure, scalable predictive AI solutions across the bank.
Senior Data Scientist builds ML/NLP models and LLM/RAG systems to extract insights from Medicaid claims and policy data, improving program oversight and health outcomes.
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
Senior Data Science Engineer or Senior Machine Learning Engineer at PayPay builds and deploys ML models for fraud detection, recommendations, and insights, using Python, SQL, and cloud tools in a hybrid Tokyo office.
Designs, deploys, and secures AWS GovCloud environments with Zero Trust principles, automating infrastructure via CDK and Lambda while integrating AI/ML services like SageMaker.
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
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