MLOps/Cloud Engineers
1 week ago
Responsibilities:
1. Infrastructure Management
Design scalable cloud infrastructure
Configure distributed computing resources
Optimize GPU/compute allocation
Manage AWS services (SageMaker, EC2)
Implement cost-effective training solutions
2. Training Pipeline Development
Create end-to-end ML workflows
Implement CI/CD for machine learning
Develop automated training scripts
Design reproducible experiment frameworks
Manage model versioning and tracking
3. Cloud Infrastructure Configuration
Set up Kubernetes clusters
Configure distributed training environments
Implement auto-scaling mechanisms
Manage compute resource allocation
Design fault-tolerant architectures
4. Model Deployment Strategies
Develop model serving infrastructure
Implement inference optimization
Create deployment pipelines
Manage model versioning
Configure model monitoring systems
5. Performance Optimization
Implement distributed training techniques
Optimize computational efficiency
Develop hardware acceleration strategies
Manage resource utilization
Implement cost-effective training approaches
Requirements for MLOps/Cloud Engineers:
- Bachelor's or master's degree in computer science, cloud computing, or a related engineering field
Technical Skills:
- Strong proficiency in containerization technologies (Kubernetes, Docker)
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Expertise in CI/CD pipeline design and implementation
- Proficiency in programming languages like Python, Go, or Shell scripting
- Understanding of machine learning model deployment and monitoring
- Hands-on experience with AWS services (EC2, EKS, S3, ECS)
- Familiarity with cloud networking, security, and performance optimization
Professional Qualities:
- Excellent problem-solving and communication skills
- Ability to translate technical solutions into business value
- Curious and analytical mindset with a passion for technological innovation
- Strong collaborative and learning capabilities
Preferred Certifications:
- AWS Certified Solutions Architect
Entry level
Publish Date17/12/2024
Job Ref. No.VMHK20
Job FunctionApplication Development
Electrical / Electronic Engineering
Network / System Admin
Company OverviewAs a Hong Kong based continuous innovator, VisionMatrix Technology focuses on accurate, affordable, fast and scalable video search solutions for both commercial clients and online users, to find out interested content such as people, behaviours, objects or celebrities among massive video data. By learning real world subjects' original 3D presentation and applying proprietary 3D imaging IP, VisionMatrix redefined video search in a 3D way and developed the most accurate video search engine. With this engine, VisionMatrix is providing professional search services to city management to empower security, providing cost effective customer analysis service for retail customers and providing home education, entertainment experiences for online users to maintain learning efficiency even under the pandemic of COV-19. With recent fundraising from a listed industry leading group, VisionMatrix maintains its pioneering innovation as the world's leading video search service provider and has financially backed ambitions to expand both R&D and business teams, to prepare for rapid growth in the coming years. The company has offices in Hong Kong Science Park, East Tsim Sha Tsui, Shenzhen, and will set up offices in Beijing, Singapore and Australia.
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