Machine Learning Infrastructure Specialist
3 days ago
The role of Machine Learning Infrastructure Specialist at Standard Chartered involves designing, developing, and maintaining a hybrid AI Platform across multi-cloud and on-premises environments.
Responsibilities:- Developing and maintaining scalable, efficient, and reliable data and AI pipelines.
- Collaborating with data scientists, data engineers, and central data governance teams to align with standardized data strategies.
- Implementing MLOps and LLMOps frameworks for machine learning model deployment.
- Ensuring AI platform delivery and services meet security and risk requirements and operational SLAs.
Key Qualifications:
- 8-10 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AI projects.
- 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).
- Hands-on experience with GPU computing and optimization for AI workloads.
- Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
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