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Design and automate scalable SageMaker environments and CI/CD pipelines for ML model deployment across Europe using AWS, Python, and Jenkins.
Build and maintain AI/ML infrastructure to deploy models into live game engines, enabling scalable, real-time gaming experiences for a cross-studio team.
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
Design and maintain AI-driven data pipelines in Python, ensuring efficient processing and compliance while translating business needs into data solutions.
Build ML models and training pipelines for robotics that maintain data-center infrastructure, starting with simulation and moving to real hardware.
Design and operate Kubernetes-based infrastructure for AI/ML workloads at ETH Zürich, ensuring reliability and performance for scientific computing.
Builds and scales the ML training and bidding infrastructure for a marketing-tech ad platform using Python or Java.
Engineer troubleshooting cloud data and AI/ML issues for Google Cloud customers, analyzing systems with SQL/Python and proposing code-level fixes to improve support and self-service tools.
Build and deploy ML models and data pipelines using Python, Spark, and Airflow, integrating classic ML with LLMs for anomaly detection in production systems.
Senior ML Engineer builds and deploys machine-learning models for data analysis and algorithm optimization in a fintech context.
You troubleshoot cloud tech issues for Google Cloud customers, analyze data with Python/SQL, and suggest code fixes for complex bugs to improve support and self-service tools.
Build and deploy ML models and GenAI services, manage customer data, and analyze it using Python, NLP/LLMs, SQL, and OpenSearch in a product-focused team.
Build and improve ML models for media and entertainment software, focusing on AI techniques like deep learning and geometric methods to enhance Autodesk’s creative tools.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Build and deploy AI models using Python and frameworks like PyTorch/TensorFlow to power real-world products, collaborating with engineers in a fully remote setting.
Build and scale ML systems to extract structured product data from unstructured web content, improving Pinterest’s shopping search and recommendations using language models and web scraping.
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
Build and deploy real-time computer-vision models for a neural-interface medical device that translates brain intent into action, optimizing models for wearable hardware and clinical readiness.
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Develop ML/AI models and perception systems for next-gen agricultural harvesting equipment using C++/Python, computer vision, and ROS in a Linux/AWS environment.
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