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SD Worx is a leading European provider of Payroll & HR services with global reach. We have offices across Europe and in Mauritius. Our purpose is to bring people solutions to life, enabling organisations of all…
Designs and leads TradingView’s enterprise data architecture, including real-time financial data pipelines, data lakes, and AI-ready infrastructure while mentoring engineers and setting data governance standards.
Designs end-to-end data and AI architectures for a secure government program, ensuring scalable, resilient, and compliant solutions using cloud platforms and big data technologies.
Lead a team to build and manage a centralized AI/ML Models-as-a-Service platform, overseeing model development, deployment, and MLOps pipelines for enterprise use.
Build and deploy ML models and pipelines that power Adyen’s data products, from research to production monitoring and business impact measurement.
Build and deploy ML models for search, pricing, routing, and generative-AI features that power Trainline’s travel platform, collaborating with data scientists and engineers.
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Machine Learning Engineer Department: Recruiting Done Employment Type: Full Time Location: Santa Monica, California, Santa Monica About Our Client Our client is a technology company developing next-generation…
Build and deploy production-grade AI solutions for enterprise clients using LLMs, RAG, and agent frameworks, owning the full lifecycle from discovery to optimization.
Design and lead enterprise Databricks Lakehouse platforms on AWS/Azure/GCP, including Unity Catalog, Delta Live Tables, and ML pipelines, while enforcing data governance and cost optimization.
Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Builds uplift and RFM models in Python to optimize marketing campaigns and A/B tests for an e-commerce company.
Build and tune credit-scoring models (logistic regression, gradient boosting) to predict customer defaults, run A/B tests on risk rules, and translate data insights into business decisions for a FinTech lender.
Build and maintain the Kubernetes-based infrastructure and MLOps tooling that trains, validates, and deploys AI models for Intuitive Surgical’s medical devices, ensuring reproducible workflows and GPU cluster health.
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Tech Lead DevOps/MLOps Engineer builds and runs the AI platform’s infrastructure, deploys LLM models, and maintains Python/Java apps, Kubernetes clusters, CI/CD, and databases in production.
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