Machine Learning Architect
3 days ago
**Experience**: 6-8 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AI projects.
- **Technical Expertise**: Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure).
- **GPU Expertise**: Hands-on experience with GPU computing and optimization for AI workloads.
- **Programming Skills**: Proficiency in programming languages such as Python, Golang
- **Problem-Solving**: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
- **Communication**: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment.
- Responsible for designing and delivering hybrid AI Platform.
- Develop and maintain scalable, efficient and reliable data and AI pipelines.
- Collaborate with data scientist, data engineers, and central data governance team to align with a standardised data strategy.
- Design and implement MLOps and LLMOps framework
- Design and implement automated pipelines for prompting machine learning models to production.
- Design and implement monitoring strategy for AI Platform and integrate with central observability platform.
- Ensure AI platform delivery and services meet security and risk requirements and operational SLA.
- Write and maintain detailed documents for hybrid AI Cloud Platform.
- Cross-Collaborate with technology and architecture teams to align with best practices and standards.
- Perform code-reviews ensuring lower tech debt and avoiding spaghetti code.
- Stay up to date with industry trends, research in artificial intelligence field.
Requirement Skillset:
**TensorFlow, PyTorch, MLflow, Kubeflow, GPU computing, Python, Golang, AI Cloud Platform, LLMOps framework**
**Job Types**: Full-time, Contract
Contract length: 12 months
Pay: RM8,000.00 - RM9,000.00 per month
**Benefits**:
- Opportunities for promotion
- Professional development
Schedule:
- Day shift
- Monday to Friday
Ability to commute/relocate:
- Kuala Lumpur: Reliably commute or planning to relocate before starting work (preferred)
**Education**:
- Bachelor's (preferred)
**Experience**:
- TensorFlow: 6 years (required)
- Google Cloud Platform: 6 years (required)
- LLMOps framework: 6 years (required)
- GPU computing: 6 years (required)
Work Location: In person
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