Current jobs related to Mlops Engineer - Singapore - PATSNAP PTE. LTD

  • MLOps Engineer

    6 days 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...

  • Mlops Engineer

    7 days ago

    Singapore Hays Full time

    **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,...

  • Mlops Engineer

    7 days ago

    Singapore Amaris Consulting Full time

    **ABOUT THE JOB** - Develop new features for customer solutions and reusable components - Build, deploy, and maintain software components in cloud or on-premises environments - Improve the user experience of services through continuous enhancements - Write test cases and automate testing processes with a high level of coverage - Contribute to technical...

  • Mlops Backend Engineer

    2 weeks ago

    Singapore HPC AI TECHNOLOGY PTE. LTD. Full time

    **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. -...

  • Mlops Developer

    1 week ago

    Singapore IITMATRIX PTE. LTD. Full time

    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...

  • Senior Mlops Engineer

    1 week ago

    Singapore FWD Insurance Full time

    Established in Asia in 2013 with a trailblazer mentality, FWD is the primary insurance business of investment group, Pacific Century Group (PCG), with minority shareholders Swiss Re Group, GIC Ventures, RRJ Capital and Hopu Investments. FWD spans 10 markets in Asia including Hong Kong SAR & Macau SAR, Thailand, Indonesia, the Philippines, Singapore,...

  • DevOps and Mlops Engineer

    6 days ago

    Singapore NodeFlair Full time

    **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...

  • Associate Mlops Engineer

    1 week ago

    Singapore ENSIGN INFOSECURITY (CYBERSECURITY) PTE. LTD. Full time

    **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...

  • AI/MLOps Specialist Position

    2 days ago

    Singapore beBee Careers Full time

    AI/MLOps Engineer PositionWe are seeking an experienced AI/MLOps Engineer to support a high-impact public sector project focused on backend AI systems, large language model deployment, and GPU infrastructure management.If you have a background in DevOps Engineering, AI Platform Engineering, or ML Systems Development, this role is a strong fit — especially...

  • MLOps Specialist

    3 days ago

    Singapore beBee Careers Full time

    AI MLOps EngineerWe are seeking a talented professional to specialize in implementing cutting-edge generative AI and machine learning applications.This role requires the ability to identify differences between various models, monitor their performance, and collaborate closely with application teams to share knowledge and best practices.Key...

Mlops Engineer

2 weeks ago

Singapore PATSNAP PTE. LTD Full time

**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.