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Location: Kuala Lumpur
Responsibilities and Duties
- Develop and maintain pipelines for model training, evaluation, and deployment.
- Implement monitoring and alerting systems to track model performance and data quality in production.
- Automate processes for model retraining, versioning, and rollback.
- Collaborate with data scientists and software engineers to optimize models for performance, scalability, and reliability.
- Ensure compliance with regulatory requirements and security standards in all ML operations.
- Research and implement best practices for ML Ops to improve efficiency and reduce operational overhead.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Familiarity with machine learning concepts and techniques & strong understanding of cloud computing platforms and containerization technologies.
- Proven experience in software development and/or data engineering & experience with deploying and managing machine learning models in production environments.
- Excellent problem-solving and communication skills & strong teamwork and collaboration skills.
- Ability to work in a fast-paced and dynamic environment & excellent time management and organizational skills.
- Adaptability and willingness to learn new technologies and techniques.
- Proficient in cloud services such as AWS S3, EC2, SageMaker, Kubernetes, Prometheus, Grafana, or ELK stack & etc.
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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