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Build and maintain ML systems for fintech and cybersecurity products, designing models to solve business problems and automating ML workflows in production.
Lead a data-science team to build predictive models and analytics solutions using Python, scikit-learn, TensorFlow, and Airflow for a large tech organization in Kuala Lumpur.
Leads AI/ML model development for fintech customer support, focusing on chatbots, RAG systems, and scalable production deployments with cloud infrastructure and MLOps tools.
Design and deploy AI systems for smart manufacturing, integrating LLMs, vector databases, and MLOps to optimize production flows and predictive analytics in a global industrial setting.
Build and maintain MLOps and GenAI pipelines on AWS SageMaker and Bedrock, provisioning cloud infrastructure with Terraform and ensuring production-grade monitoring and observability for AI models and agents.
Senior ML Engineer designs, builds, and deploys scalable ML systems and pipelines using Python, TensorFlow, and cloud platforms, while collaborating with data scientists and engineers.
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 and deploy AI models for player personalization, engagement, and decisioning in Ubisoft’s live games, shipping production-ready solutions that directly impact player retention.
Design, build, and deploy ML/LLM systems end-to-end, from data pipelines to production serving, using Python, Docker, Kubernetes, and MLOps tools.
Lead AI/ML projects including Generative AI and LLM applications to drive customer personalization and data-driven strategies for media services.
Build and operate scalable GPU-powered infrastructure for real-time AI model inference using frameworks like vLLM or Triton, ensuring high availability and cost efficiency.
Build and scale production ML systems, turning research into robust, cloud-native pipelines using Python, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Магнит OMNI — e-com-направление крупнейшего офлайн-ритейлера России. Мы объединяем: * приложение «Магнит» (20+ млн MAU), * сервисы доставки (еда, рестораны, аптека, косметика), * экосистему AdTech и лояльности «Магнит…
Build, deploy, and maintain production-grade ML models and pipelines using Python, AWS SageMaker, and MLOps tools.
Expert, AI Engineer At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy…
Key Skills: Oracle, MS SQL, MySQL, Teradata, Databricks, Informatica, AWS cloud services, ETL, ML, AI, IaC, CI/CD, Informatica IDMC Certification Education & Experience: Degree/Master's in Computer Science,…
Build and maintain MLOps infrastructure and decision engines to productionize AI/ML models, including LLMs, for real-time enterprise workflows.
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to…
About the Role This role sits at the intersection of robotics and data infrastructure at a well-funded, early-stage robotics company. You'll be responsible for building reliable pipelines and storage systems that…
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