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Build AI models that parse security logs and detect threats using LLMs, embeddings, and retrieval, then ship them as production services in a breach-emulation platform.
Own the architecture, development, and automation of end-to-end machine learning solutions, bridging data science and software engineering using Python, Spark, AWS, and GCP.
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Designs and deploys AI/ML models and backend services in Python, collaborating with teams to integrate AI into scalable business solutions and analyze AI market trends.
A 3-6 month internship developing deep learning models for radar-based perception in autonomous vehicles, focusing on improving sensor data processing for advanced driver-assistance systems.
Oversees underwriting/credit risk model validation at a fintech company, leading a team to validate ML models, enhance risk frameworks, and ensure compliance with rigorous testing and audits.
Senior ML Engineer in Bogotá building and optimizing models for enterprise use cases, maintaining robust data pipelines, and mentoring junior team members.
Build and optimize Android ML systems that power speech/audio and reinforcement learning features at massive scale for 3B+ devices.
Senior Product Manager driving AI product development in identity security, authorization, and privileged access at Delinea. Responsibilities include translating market trends into features, partnering with engineering and design teams, and owning product initiatives from concept to launch with focus on AI/ML technologies.
Leads ROCm software validation for AMD’s AI/ML GPU platforms, defining test strategies, infrastructure, and release gates for multi-GPU/server workloads (e.g., LLMs, HPC). Owns end-to-end validation, debugs complex failures, and mentors engineers.
Designs and deploys GenAI models and systems for Databricks’ AI-powered products like Assistant and AI/BI Genie, focusing on LLM quality and scalable ML pipelines.
Lead the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on query understanding, retrieval, and evaluation at scale.
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
Builds and maintains the backend infrastructure that lets AI researchers and engineers quickly set up, run, and debug training and serving environments on Databricks’ AI platform.
Build and scale ML infrastructure and agentic AI workflows to accelerate AI-driven protein design and genetic medicine research.
Leads AI/ML research and applied data science for national security, developing large-scale models and collaborating with multidisciplinary teams to solve complex problems in physics, medicine, and materials science.
Senior applied AI engineer building production systems that transform enterprise data into structured insights for a B2B process intelligence platform.
Staff engineer building AI-native software and overseeing AI coding agents to ship secure, production-ready systems for Crunchyroll’s media platform.
Leads design and delivery of scalable data platforms in a hybrid Cape Town setting, focusing on automated pipelines, SSOT, and ML-ready data structures for advanced analytics and AI use cases.
Build and scale the machine learning platform that powers AI-driven behavioral health tools, including LLM serving, GPU inference, and multimodal data pipelines, for a fast-growing virtual care provider.
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