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Build and deploy production-grade deep learning models using PyTorch and LLMs to solve Extreme Multilabel Classification problems for retail analytics.
Software Development Engineer (Senior/Staff) Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Vision, AI, or related fields. Strong experience in machine vision, AOI systems, or…
Builds and maintains backend systems in C++, Python, or Java, applying AI/ML (LLMs, NLP) to trading and operations workflows within a large hedge fund.
Build and deploy computer-vision models for early detection of eye diseases using TensorFlow/PyTorch on AWS, focusing on segmentation, detection, and explainable AI for global healthcare impact.
Build and own the backend and AI agent orchestration for an autonomous mental-health care platform that coordinates patients, clinicians, and LLM agents in real time using Node.js, TypeScript, Postgres, and AWS.
Leads AI/ML model development for fintech customer support, focusing on chatbots, RAG systems, and scalable production deployments with cloud infrastructure and MLOps tools.
Research and develop deep-learning models for 3D CT imaging to extract biomarkers and support clinical trials in lung and heart disease.
Build and optimize large-scale data pipelines and AI infrastructure for Microsoft Ads, enabling real-time analytics and monetization for Bing’s advertising engine.
Lead AI engineering efforts to build and deploy scalable big-data solutions, predictive models, and LLM-based systems using Spark, Python/R, and cloud platforms.
Principal engineer building scalable AI-driven data platforms for Microsoft Ads, optimizing streaming pipelines and real-time analytics to power Bing’s $10B ad monetization engine.
Build ML models (predictive, recommendation, anomaly detection) in Python/PySpark/SQL to solve business problems and mentor junior data scientists.
Build and deploy AI-powered prototypes and production systems using LLMs, computer vision, and graph-based AI, optimizing models with PyTorch and Nvidia tools.
Develop machine-vision software and deep-learning models to inspect and measure industrial parts for semiconductor and manufacturing clients using C++/C#.
Build and deploy ML models using Python, TensorFlow, and PyTorch; analyze data to uncover trends and deliver dashboards and reports for stakeholders.
Build and deploy AI/ML models for aeronautical domains, including transformers, reinforcement learning, and RAG pipelines, to optimize air traffic and support decision-making.
Build AI-powered computer-vision models for jet-engine inspection, integrating cameras, lasers and NDT hardware into production inspection cells.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, while engineering robust data pipelines for scalable model training and evaluation.
Designs, builds, and deploys AI models (ML/DL/NLP/CV) to automate decisions and processes, working with data scientists and engineers to integrate intelligent systems into production.
Design and implement AI architectures for clients, working with generative AI, cloud platforms, and model frameworks like TensorFlow and PyTorch.
Description Rapsodo is a global Sports Technology company with offices in the USA, Singapore, Turkey, and Japan. We develop cutting-edge sports analytics products that are data-driven, portable, and easy to use,…
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