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Build and maintain scalable data pipelines and AI-driven systems for an ethical ad-tech platform, integrating ML models into production while ensuring data quality and security.
Design and build data pipelines, AI models, and generative-AI solutions to turn raw data into business insights and automated decisions for clients.
Build and deploy Azure-based machine learning models using Python and AutoML, then monitor and retrain them to keep them accurate and ethical in production.
Lead AI and data engineering teams to build scalable pipelines, ML models, and generative AI solutions that drive business decisions and digital transformation for clients.
Develop and maintain audio watermarking and fingerprinting systems in Python, improving robustness and scalability for media measurement research and production deployment.
Build and maintain ML models, analyze spend data, and create dashboards to help companies manage corporate payments and expenses using Python, SQL, and cloud tools.
Build and deploy AI/ML models and generative AI systems for government clients, focusing on scalable MLOps pipelines, cloud deployments, and integration with Army operations.
Build and deploy AI agents and LLM-powered systems for public-safety use cases, orchestrating workflows with LangGraph/AutoGen and containerizing models in Docker/Kubernetes.
Lead a team building AI-driven models for marketing, audience targeting, and healthcare analytics at GoodRx, using Python, ML, and cloud platforms to optimize prescription savings and B2B offerings.
About Current Surgical Inc. Current Surgical is a startup company developing technology on the frontier of engineering and biology. Our first product is a smart microinvasive needle that precisely destroys tumors…
Lead a team building AI-driven financial software using Java/Python, integrating LLMs and agentic workflows while ensuring secure, scalable production systems.
Build and deliver AI/ML systems using Python/Java, agentic frameworks (LangChain), and cloud tools to create scalable, secure production solutions for JPMorganChase’s AI initiatives.
Build and deploy ML models for healthcare analytics, refactoring data scientists' models into production batch jobs and optimizing cloud costs on AWS.
Build and deploy AI/ML models on Azure, integrating with Microsoft services like Teams and Graph API using Python, PyTorch, and LangChain.
Build and deploy ML systems for sports-tech products, including recommender engines, NLP, LLM apps, and semantic search, using Python, PyTorch, and SQL at scale.
Build and deploy enterprise-scale AI/ML models for banking, using Python, PySpark, and LLMs; partner with business to drive measurable outcomes and maintain model governance.
Build ML models and analytics for retail/e-commerce: forecasting, personalization, and generative AI for search and support using Python, Spark, and cloud platforms.
Design and deploy production-grade AI systems, including agentic workflows and GenAI, to drive measurable business impact in digital banking and lending.
Senior data analyst role at Salla, leading strategic initiatives to drive top-line and bottom-line metrics across ecommerce domains using SQL, Python, and BI tools.
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
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