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Build and maintain data pipelines for a healthcare AI project, ingesting and harmonizing diverse medical datasets to support deep-learning model training and deployment.
Build and maintain medical-data pipelines that feed deep-learning models, integrating heterogeneous hospital data sources and collaborating with data scientists.
Build and maintain SaaS web apps that embed analytics and AI (ML, generative, agents) on AWS, collaborating with data scientists and cloud engineers.
Build and maintain CI/CD pipelines and Kubernetes-based infrastructure to automate training and deployment of AI/ML models, using Docker, Terraform, Ansible, Jenkins, and monitoring tools like Prometheus and Grafana.
Build and maintain full-stack web apps for a health-AI research institute, migrating from Ruby on Rails to ASP.NET C# and using Vue.js/TypeScript on the front end.
Build Python-based document processing and fraud-detection algorithms using deep-learning frameworks in a collaborative product team.
Build and scale Python-based microservices and APIs that integrate AI models and fraud-detection systems, ensuring high availability and performance under heavy data loads.
Develop and maintain a Python-based AI suite that monitors the aging of Schneider Electric’s connected assets, integrating machine learning models and cloud services.
Builds NLP models in Python to extract and reconcile financial data from documents using OCR, fuzzy matching, and LLMs, then deploys them as REST APIs on Azure.
Build and maintain data pipelines feeding real-time energy, weather, and asset data into predictive models for trading strategies across European electricity markets.
Design, deploy, and optimize HPC/AI infrastructure for drug-discovery workloads using Kubernetes, Slurm, and cloud platforms to support petabyte-scale ML pipelines.
Build and optimize a high-performance browser-based editor for annotating complex multi-modal AI training data (3D/4D scenes, video, audio, medical images, LIDAR) using TypeScript, React, and Python.
Build next-gen AI models (LLMs, deep learning) to power cybersecurity defenses at scale, leading research and deploying solutions across CrowdStrike’s global platform.
Build AI-powered robotic perception systems for industrial welding using deep learning, sensor fusion, and 3D computer vision to automate manufacturing workflows.
Build and deploy scalable Android apps in Kotlin to support Visa’s global payments infrastructure, ensuring reliability and security for millions of daily transactions.
Design and deliver AI solutions (ML, GenAI, NLP) for public and private sector clients, using cloud platforms and DevOps tooling while engaging stakeholders and leading Agile teams.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Builds and maintains Python/Django services powering Lyst’s global fashion marketplace, including trend detection, payments, and checkout systems.
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 AI research to build high-fidelity, multi-physics simulation models for engineering and manufacturing, using deep learning and probabilistic methods to optimize design and operations.
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