
Mlops Engineer
2 weeks ago
**About PatSnap**
Patsnap empowers IP and R&D teams by providing better answers, so they can make
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 our
extensive proprietary innovation data, coupled with Hiro, our AI assistant, delivers
actionable insights that increase productivity for IP tasks by 75% and reduce R&D
wastage by 25%. IP and R&D teams collaborate better with a user-friendly platform
across the entire innovation lifecycle. Over 15,000 companies trust Patsnap to
innovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, and
Wilson Sonsini.
**About the Role**
We are seeking a passionate MLOps Engineer to join our team and drive the deploym
ent, monitoring, and optimization of machine learning models in production. This rol
e will be key in ensuring the reliability, scalability, and efficiency of our ML infrastruct
ure while supporting the development and release of AI-driven solutions. If you have
a strong background in cloud technologies, automation, and ML model deployment, t
**Responsibilities**:
- Design, build, and maintain scalable ML model deployment pipelines for real-time and batch inference.
- Manage and optimize cloud-based ML infrastructure, ensuring high availability and cost efficiency.
- Implement monitoring, logging, and alerting systems for ML models in production to track performance, data drift, and anomalies.
- Automate model training, evaluation, and deployment processes using CI/CD pipelines.
- Ensure compliance with MLOps best practices, including model versioning, reproducibility, and governance.
- Collaborate with data scientists, ML engineers, and software developers to streamline the transition of models from development to production.
- Optimize model serving infrastructure using Kubernetes, Docker, and serverless technologies.
- Improve data pipelines for feature engineering, data preprocessing, and real-time data streaming.
**Qualifications**:
- Hands-on experience with MLOps platforms (e.g., MLflow, Kubeflow, TFX, SageMaker).
- Strong expertise in cloud services (AWS, GCP, Azure and other Clouds).
- Proficiency in containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation).
- Experience in building CI/CD pipelines for machine learning models.
- Solid programming skills in Python, Go, or Shell scripting for automation.
- Familiarity with data versioning and model monitoring tools (DVC, Evidently AI, Prometheus, Grafana).
- Understanding of feature stores and efficient data management for ML workflows.
- Strong problem-solving skills with a proactive, self-motivated attitude.
- Excellent collaboration and communication skills to work in a cross-functional team.
- Fluent in Mandarin for effective communication within a multilingual team environment.
Why Join Us
Work with cutting-edge MLOps and AI deployment technologies in a fast-growin
g industry.
Be part of a dynamic and innovative team focused on AI and cloud solutions.
Gain exposure to end-to-end machine learning workflows, from data processing
to model deployment.
Opportunities for professional growth in cloud computing, automation, and AI in
frastructure.
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