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Machine Learning Engineer developing 3D human body/hand pose estimation models from egocentric video using PyTorch/TensorFlow, camera calibration pipelines, and deep learning to generate robot training data.
Designs, deploys, and operates scalable ML pipelines on Azure and Databricks, focusing on cost-efficient, maintainable, and secure AI solutions for an edtech organization.
Develops and optimizes search relevance algorithms for a question-answering platform, focusing on ranking features, semantic text understanding, and improving retrieval accuracy from diverse knowledge sources.
A Senior ML Engineer improves a search-based Q&A platform by developing ranking features, optimizing retrieval, and addressing challenges like semantic gaps and data sparsity using modern IR and NLP techniques.
Develops AI-driven search platforms for enterprise question-answering, integrating LLMs with traditional search/relevance tech to improve conversational search systems for millions of users.
Build and productionise ML pipelines, tooling, and data workflows for sports betting analytics and trading systems using Python and modern ML libraries.
Build AI-driven tools to automate and improve HPE Networking support operations, analyzing structured and unstructured data to predict issues and streamline workflows using ML, AI, and automation.
The Machine Learning Engineer will design, train, and validate computer vision models for autonomous flight systems in safety-critical environments. The role involves managing the full ML lifecycle, including model architecture, evaluation pipelines, and integration with real-world aerospace systems.
Leads hardware design and optimization for AWS cloud-scale ML acceleration platforms (e.g., Inferentia), focusing on static timing analysis to improve performance, cost, and reliability at massive scale.
Lead a team to build and deploy production-grade ML models for real-time e-commerce and payments systems, driving commercial outcomes at scale.
Designs and deploys AI/ML solutions (including generative AI, agentic systems, and RAG) for Disney’s immersive digital experiences, focusing on scalability, reliability, and Responsible AI frameworks.
Build and maintain Java-based web applications using Spring Boot and Angular, integrating AI tools to enhance development workflows.
Lead AI/ML product strategy and roadmap for Vanguard, defining features and guiding cross-functional teams to deliver scalable, client-first solutions.
Lead the product lifecycle for AI/ML-powered trust and identity solutions, turning ML models into production-grade products that prevent fraud and validate identity.
An Engineering Manager leads AI/ML teams at a fintech platform (PitchBook) to plan, execute, and manage projects, ensuring resource allocation, risk mitigation, and team growth. Focuses on generative AI, predictive modeling, and data systems for financial insights.
Designs AWS AI/ML and cloud modernization architectures for enterprise clients, leads pre-sales discovery, and scopes migrations/GenAI pipelines (Bedrock/SageMaker) while collaborating with AE and AWS teams.
Develops and optimizes ML models for 3D reconstruction, human pose estimation, and computer vision tasks using Python, PyTorch/TensorFlow, and 3D data formats. Integrates algorithms into pipelines and collaborates with cross-functional teams to advance intelligent systems for automotive, aerospace, and defense industries.
Build and own end-to-end ML systems for an expert network serving 100M+ customers, using forecasting, optimization, and reinforcement learning to match demand with expert capacity in real time.
Develops and integrates ML models into OneRail’s delivery orchestration platform, bridging data science and production systems to enhance AI-driven logistics features via APIs, microservices, and React components.
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
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