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Job Duties and Responsibilities:
- AI Model Lifecycle Management: Lead the design, development, testing, and deployment of AI models and machine learning systems, including creating prototypes and Proof-of-Concepts.
- System Optimization: Continuously monitor, maintain, and enhance the performance of deployed AI systems.
- Cross-Functional Collaboration: Partner with business users, data scientists, software developers, and infrastructure engineers to develop and integrate AI solutions.
- Data Quality Assurance: Manage data collection and annotation processes to ensure high-quality datasets for model training, evaluation, and drift detection.
Job Requirements:
- Educational Qualifications: Bachelor’s degree or higher in Information Technology, Computer Science, Data Science, Statistics, or a related field.
- Professional Experience: 2+ years of experience in AI, data science, machine learning, data engineering, or similar roles.
- Programming Proficiency: Strong programming skills in Python, with experience in data science and machine learning libraries and frameworks.
- Cloud Expertise: Experience in developing AI/ML solutions on cloud platforms.
- MLOps Knowledge: Familiarity with MLOps frameworks such as MLflow and Kubeflow.
To Apply
Apply with CV via job advertisement
Wayne Wong | Senior Consultant
Email: [email protected]
Licence Number: 10C5117 | EA Registration Number: R22104650
Key Skills
Ranked by relevance
ai
machine learning
prototypes
python
mlflow
cloud
mlops
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- Posted
- May 07, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
- Company
- Ambition
Industries
Technology
Information
Media
Categories
Information Technology
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3 roles aligned with this opportunity
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