Assistant Principal AI Engineer

1 week ago

Singapore ST Engineering Full time $90,000 - $120,000 per year

The AI & Data Analytics Strategic Technology Centre (AI.DA STC) is a corporate applied research lab that aims to develop key technologies to support ST Engineering's global growth plans across all our business sectors.

We seek a driven and passionate individual who can support the team in tackling complex challenges, including designing, implementing, and ensuring the delivery of end-to-end AI/ML systems for clients and relevant stakeholders.

Responsibilities:

  • Develop, maintain, and monitor scalable pipelines and machine learning workflows across various platforms

  • Design and develop backend and frontend components to enable seamless integration and interaction between differing components of an AI/ML product or application.

  • Create and manage environments for AI development and production, ensuring optimal resource allocation and compliance with security standards.

  • Implement continuous monitoring mechanisms for AI solutions to ensure performance efficiency, accuracy, and reliability.

  • Collaborate with cross-functional teams to implement best practices in code development, data governance, and automated pipelines.

  • Contribute to the architecture and advancement of the data and analytics platform, exploring new tools and techniques within distributed environments.

  • Integrate and transform data from diverse sources, such as databases, APIs, log files, and streaming platforms to support analytics and machine learning operations.

  • Partner with stakeholders to develop solutions using AI/ML, tailored to business needs, ensuring the seamless integration of differing capabilities.

Requirements:

  • Experienced in software engineering, with 3 years of experience in roles that involve the intersection of AI/ML, data engineering, and/or system administration.

  • Proven expertise in building scalable solutions.

  • Experience with and knowledge of the following:

  • Linux and Unix-based operating systems

  • Version control systems (Git)

  • Containerisation tools (Docker, podman, buildah)

  • virtual environments/machines and dependency management

  • DevOps-related skills (CI/CD, testing, automated pipelines, packaging, etc.)

  • MLOps concepts and tooling (experiment tracking, lineage tracking, data versioning, model deployment, etc.).

  • Observability (Logs, Metrics, Traces, etc.)

  • Networking concepts

  • Infrastructure as Code frameworks/workflows

  • Proficiency and hands-on experience in Python and SQL. Familiarity with Typescript or Go would be advantageous.

  • Experience and familiarity with distributed tooling.

  • Ability to develop and maintain deployments/services within a Kubernetes environment. Familiarity with tools relevant to the Kubernetes ecosystem is expected.

  • Experience with batch data processing and data modeling. Familiarity with real-time implementations would be advantageous.

  • Understanding and awareness of software and AI engineering best practices.

  • Exposure to the Generative AI ecosystem.

  • Analytical, problem-solving, and communication skills.

Nice to Have:

· Familiarity with Scrum methodology and agile practices.

· Experience with streaming data technologies such as Kafka.

· Exposure to the Generative AI-centric ecosystem.

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