Senior Mlops Engineer

**Your new role** - Develop and manage MLOps infrastructure to facilitate the deployment, scaling, and monitoring of machine learning models. - Work collaboratively with data scientists and engineering teams to move machine learning models from development to production smoothly. - Implement and manage automation tools for continuous integration, testing,...

**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,...

Job Title: Senior MLOps Engineer "> Are you looking for a challenging role that combines machine learning with engineering principles? We are seeking a highly skilled MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for designing, developing, and deploying AI models into production. "> Our ideal candidate will have a strong...

**Job Summary**: **Job Type** Permanent **Seniority** Mid **Years of Experience** 3-5 years **Tech Stacks** RDS AWS Terraform ECS Azure - You will be instrumental in managing our cloud-based resources, particularly in AWS, and driving innovations in our deployment strategies, with the opportunity to engage in MLOps projects.**Responsibilities**: - Cloud...

**Responsibilities**: - Design, develop, and optimize backend systems for MLOps workflows on our compute cloud platform. - Build and maintain scalable, secure, and high-performance API services to support ML model training, deployment, and monitoring. - Develop and integrate orchestration systems for managing AI workloads and containerized environments. -...

We are looking for a MLOps Developer for our client company in Singapore. **Responsibilities**: As our MLOps developer, you will get a chance to work on the latest tools and technologies in cloud native machine learning engineering like AI/ML, CI/CD, monitoring, Airflow, MLFlow, Kubernetes in AWS environment. You will be responsible for building new MLOps...

We are seeking an experienced **MLOps & Generative AI Engineer**to design, build, and deploy cutting-edge AI/ML solutions with a strong focus on LLMs, MLOps automation, and cloud-based deployment. You will work on real-world projects such as financial inquiry classification, document summarization, and sentiment analysis for global...

about company I am currently working with a well known biotechnology research company. Office located in Woodlands - but there's shuttle bus provided from multiple MRT stations.Salary structure: Base + bonus Hybrid working arrangement - 2 days WFH. Working hours 8am to 5pm. Can end work early and have more personal time. Might need to take 7am US calls.about...

about company I am currently working with a well known biotechnology research company. Office located in Woodlands - but there's shuttle bus provided from multiple MRT stations. Salary structure: Base + bonus Hybrid working arrangement - 2 days WFH. Working hours 8am to 5pm. Can end work early and have more personal time. Might need to take 7am US calls....

**Roles and Responsibilities** - Develop and deploy end to end pipelines for developed models - Ensure that deployed machine learning models are functional in production - Work on optimisation so that the model can handle large amounts of data in a production environment **Qualifications/Requirements**: - Ability to do development using Python - Ability to...