MLOps Engineer

1 week ago

Singapore Patsnap Full time

Join to apply for the MLOps Engineer role at Patsnap 6 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About PatSnap Patsnap empowers IP and R&D teams by providing better answers, enabling faster decisions with more confidence. Founded in 2007, Patsnap is the global leader in AI-powered IP and R&D intelligence. Our domain-specific LLM, trained on extensive proprietary data, coupled with Hiro, our AI assistant, delivers actionable insights that increase productivity and reduce waste. Trusted by over 15,000 companies including NASA, Tesla, and PayPal. About The Role We are seeking a passionate MLOps Engineer to drive deployment, monitoring, and optimization of machine learning models in production. This role ensures the reliability, scalability, and efficiency of our ML infrastructure while supporting AI-driven solutions development. Responsibilities Design, build, and maintain scalable ML deployment pipelines for real-time and batch inference. Manage and optimize cloud-based ML infrastructure for high availability and cost efficiency. Implement monitoring, logging, and alerting systems to track model performance and data drift. Automate model training, evaluation, and deployment using CI/CD pipelines. Ensure compliance with MLOps best practices, including versioning and governance. Collaborate with data scientists and engineers to transition models into production. Optimize infrastructure using Kubernetes, Docker, and serverless tech. Enhance data pipelines for feature engineering and real-time data streaming. Research and implement scalable AI development tools like Retrieval-Augmented Generation (RAG). Qualifications Hands-on experience with MLOps platforms (e.g., MLflow, Kubeflow, SageMaker). Strong expertise in cloud services (AWS, GCP, Azure). Proficiency in containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Experience in building CI/CD pipelines for ML models. Programming skills in Python, Go, or Shell scripting. Familiarity with data versioning and monitoring tools (DVC, Prometheus). Understanding of feature stores and data management for ML workflows. Strong problem-solving skills and proactive attitude. Excellent collaboration and communication skills. Fluent in Mandarin for effective team communication. Why Join Us Work with cutting-edge MLOps and AI deployment technologies in a growing industry. Be part of a dynamic, innovative team focused on AI and cloud solutions. Gain exposure to end-to-end ML workflows. Opportunities for professional growth in cloud computing, automation, and AI infrastructure. Additional Details Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and IT Industries: Software Development #J-18808-Ljbffr

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