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Build and optimize distributed infrastructure for a Python-based platform that orchestrates high-performance C++ solvers handling multi-TB circuit designs.
Builds scalable distributed infrastructure for a Python/C++ circuit simulation platform, focusing on data pipelines, job orchestration, and fault-tolerant workflows for multi-TB datasets across clusters.
Build and optimize a distributed Python/C++ platform that orchestrates high-performance circuit-simulation solvers, handling multi-TB netlists and streaming results across compute clusters.
Build and maintain a production-grade MLOps platform for financial risk models using Python, PySpark, and AWS, automating training, testing, and deployment workflows.
Build and optimize Ray’s distributed data-processing library (Datasets) to power large-scale ML pipelines, working with Apache Arrow, Ray Core, and ML libraries.
Lead a team of ML engineers and data scientists to build and deploy scoring models for sponsored offers on a large e-commerce platform, using Python, PyTorch/TensorFlow, and GCP.
Quantitative Developer – Compute & ML Platform Location: Dublin, Ireland Department: Execution Services Quantitative Developer – Compute & ML Platform About Millennium Millennium is a global, diversified…
Principal Data Engineer builds and scales AI/LLM data infrastructure for CrowdStrike’s cybersecurity platform, designing pipelines and agentic workflows to power next-gen security features at Exabyte scale.
Build and scale the AI infrastructure that powers CrowdStrike’s LLM-driven security products, including GPU clusters, model-serving pipelines, and MLOps tooling.
Build and own the data foundation for Citi’s new Generative AI products in Markets, designing Python-based pipelines and serving layers that process billions of records with low-latency retrieval for production AI applications.
Build physics-informed ML pipelines to turn satellite and drone imagery into trustworthy Arctic climate insights, emulating glacier models and inverting remote-sensing data for operational use.
Leads a team building and maintaining ML scoring models (e.g., click/conversion predictions) for a large European e-commerce platform, using Python, PyTorch/TensorFlow, and GCP services.
🌍 Hello World! We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that…
Expert Data Science Location: Madrid Delegación (Sandoz) Time Type: Full time Job Description Job Description Summary Understand complex and critical business problems, formulates integrated analytical approach to mine…
Builds and deploys AI-powered data models and LLM pipelines for media analytics, using Python, SQL, and GCP to predict subscriber behavior and power Antenna's subscription economy products.
Senior Machine Learning Engineer (Fraud) Team: IT Location: Canada Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our…
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate…
Job Description Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute…
Lead the design, development, and deployment of machine learning systems at scale for a major bank, collaborating with data science and product teams to productionize ML models using cloud platforms and distributed computing.
Design and build autonomous AI agents for enterprise automation, integrating with systems like ERP and CRM to optimize supply chain and customer experiences using Python, LLMs, and cloud AI services.
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