Senior, AI Platform Engineer
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JOB SUMMARY- We are seeking for an experience AI Platform Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks.
- 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.
- Develop and maintain strong relations ships with internal and external stakeholders.
- Experience: 8-10 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.
- Experience for designing, managing and maintaining Cloud and On-Premises Platform
- Experience on working with implementing AI Platform on physical servers e.g. Dell, HP etc
- Hands on experience on infrastructure as a code tools like Terraform, Bicep, Cloud Formation, ARM Templates etc
- Hands on experience in AWS EKS / Azure Kubernetes Service (AKS)
- Programming languages such as Python, Golang
- Finetuning and Optimizing usage of GPU accelerated machine learning algorithms.
- Designing and developing Ray Clusters whilst optimizing GPU usage
- Hands-on Experience on implementing MLOps and LLMOps frameworks
- Deep Understanding of Artificial Intelligence and Machine Learning concepts
- Hand-on experience on integrating open-source libraries like Unity Catalog, MLFlow, KubeFlow
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Information :
- Company : Standard Chartered
- Position : Senior, AI Platform Engineer
- Location : 广州市
- Country : CN
How to Submit an Application:
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Post Date : 2025-01-13 | Expired Date : 2025-02-12