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Build and validate AI/ML models for credit risk, fraud, and marketing using Python, SQL, and GCP to ensure accuracy and regulatory compliance.
Senior Data Scientist builds and deploys AI/ML models and RAG pipelines to analyze marketing data, forecast performance, and optimize campaigns using Python, SQL, and cloud platforms.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Lead AI/ML algorithm development for patient-monitoring systems, turning physiological signals into clinical insights and deploying models in regulated environments.
Build and maintain State Street’s enterprise AI platform, integrating ML models, cloud infrastructure, and MLOps pipelines to support investment and risk management use cases.
Design and implement enterprise-scale GenAI and Agentic AI solutions using Azure OpenAI, RAG pipelines, and frameworks like AutoGen; lead MLOps/LLMOps and productionize AI applications.
Lead Developer Relations for NVIDIA’s AI platforms in India, engaging ML researchers and startups to adopt GPU-accelerated AI workflows and optimize model training and inference.
Designs and optimizes next-gen satellite ground systems, integrating AI/ML pipelines and automation to process and orchestrate data from advanced constellations for national security missions.
Senior Data Scientist builds and deploys AI/ML models and RAG pipelines to analyze marketing data, forecast performance, and optimize campaigns for HP’s ecommerce and digital marketing efforts.
AI Business Development Lead The Opportunity: As an analytics professional, you’re excited by breakthrough ideas and the chance to shape what comes next in emerging technology. In this role, you won’t just build models…
Build and lead agentic AI systems for travel planning, integrating LLMs with tools and APIs to create autonomous agents that anticipate traveler needs and personalize trip planning at scale.
Build and deploy secure AI/ML systems for NATO, including LLMs and data pipelines, in cloud/hybrid environments while adhering to strict security and compliance requirements.
Build and ship ML systems to detect fraud and protect Uber’s platform, using deep learning and optimization at scale.
Build and improve deep-learning models for spectroscopy-based AI that detects chick sex in eggs, iterating from research to robust deployment in noisy real-world settings.
Consultant designs and delivers Azure-based data and AI solutions for enterprise clients, building ETL pipelines, ML models, and GenAI workflows while aligning with Microsoft’s cloud strategy.
Lead the productionalization of AI/ML models and LLMOps pipelines, architecting scalable AI infrastructure and MLOps workflows to deploy enterprise-grade solutions in Python and cloud environments.
Build and deploy ML models for an AI website builder, focusing on computer vision, NLP, and recommendation systems to automate web design and development.
Build and maintain open-source machine-learning tools for neuroscience research, using Python, PyTorch/TensorFlow, and UI frameworks to create reusable, well-documented software for the scientific community.
Lead end-to-end design and delivery of large-scale AI systems for federal programs, building Python-based LLM and generative AI solutions with cloud-native architectures and MLOps pipelines.
Builds Python-based cybersecurity tools (SOAR/SIEM) to detect and mitigate threats via anomaly detection, ML (TensorFlow/Keras), and Django APIs, while maintaining MySQL-backed backend systems for internal/external clients.
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