Manager, Ai Operations and Infrastructure

1 week ago

Singapore TechBridge Market Full time

If you are passionate about playing a key role in the success of a company that is geared towards helping transform people's lives through technology, we want to hear from you

Our client is a well-established brand in the Business Consulting and Services industry and they are looking for a passionate and driven
**Manager, AI Operations and Infrastructure Engineering **to join their team.

This is an exciting opportunity to expand your skillset, and achieve job satisfaction and work-life balance.

**The Company's Purpose**
- Place client value and human experience at the centre of everything we do.
- Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors.
- Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency.

**Your Role**
- Harness your expertise in AI Operations and Infrastructure, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens.
- Build and lead a world-class AI and data team.
- Produce thought leadership POV in AI Operations and Infrastructure.
- Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Mentor junior members to help them build careers in AI Operations and Engineering.
- Invest continuously in building and extending your knowledge and skills.

**Your Profile**
- Bachelor’s Degree in Computer Science/Data Analytics or related quantitative field.
- Minimum 10 years of relevant experience in consulting/engineering/AIOps industry roles.
- Excellent understanding of the state of AIOps evolution in the industry.
- Track record of delivering scalable AI backend services running in production.
- Track record of delivering CI/CD on ML, Containerization, and Infrastructure as Code, Model, and Data versioning.
- Solid exposure to cloud services and products on all big clouds (AWS, Azure, and GCP).
- Solid exposure to automation of data pipelines, data labeling, versioning, and exploration.
- Solid exposure to model deployment, canary releases, and implementation of CI/CD on cloud stack.
- A deep appreciation of concepts like Versioning, Reproducibility, Testing, Deployment, and Monitoring of models, data, and code.
- Good understanding of AI Audits and controls that can be automated in ML Ops pipelines.
- Experience with a broad range of tools to assist in the AI development lifecycle: Jupyter, TensorFlow, PyTorch, DataRobot, H2O, Hugging Face, AWS Sagemaker, Google Vertex AI, Azure ML, MLFlow, Iguazio, Dataiku, Fiddler, TruEra, IBM-360, MS Fair toolkit, Google PAIR, Docker, Kubernetes, Terraform, Ansible & Datadog.
- Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Strong ability to develop and maintain relationships among clients, colleagues, and partners.
- Demonstrated capability to lead, inspire, coach, and mentor team members and colleagues.

**_Equal Opportunities
- **

They see the diversity of their team as a strategic advantage, and they work actively to maintain it.

**WHAT’S ON OFFER**

Your interest will be treated with strict confidentiality.

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