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Senior Engineer, ML/AI (Ref 26213)

Jobline Resources Pte Ltd

Singapore

On-site

SGD 80,000 - 120,000

Full time

Today
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Job summary

A tech solutions provider in Singapore seeks an experienced individual contributor to design and deploy Generative AI solutions on AWS. This role involves providing support for solutions in production and developing predictive models for various applications. Candidates should hold a degree in Computer Engineering with at least 3 years of relevant experience in data science, ideally within aerospace or manufacturing. Proficiency in AWS services and programming skills are essential.

Qualifications

  • Minimum 3 years of experience in data science, ideally in aerospace or manufacturing.
  • Familiarity with prompting and GenAI tool chains.
  • Familiarity with code version control and containerization tools.

Responsibilities

  • Design, build and deploy Generative AI solutions on AWS.
  • Provide L2/L3 support for Generative AI solutions in production.
  • Develop predictive models for failure forecasting and quality.

Skills

Problem-solving
Communication
Project management
Data-driven decision-making

Education

Degree in Computer Engineering or related disciplines

Tools

AWS (Bedrock, SageMaker)
Python
SQL
Data visualization tools
Job description
Responsibilities
  • Individual contributor role
  • Design, build and deploy Generative AI solutions on AWS
  • Provide L2/L3 level support for Generative AI solutions in production
  • Develop predictive models for failure forecasting, quality, and inventory planning
  • Collaborate across engineering, supply chain, and MRO teams to embed data-driven decision-making
Requirements
  • Degree in Computer Engineering or related disciplines
  • At least 3 years of experience in data science, ideally in aerospace or manufacturing
  • Possesses strong problem-solving and communication skills
  • Self-driven and independent problem solver who is comfortable managing his/her own projects
  • Familiarity with prompting, retrieval augmented generation and GenAI tool chains
  • Proficiency in AWS services, especially Bedrock and SageMaker AI
  • Proficiency in Python, SQL, and data visualisation tools
  • Familiarity with foundational AWS services and cloud concepts
  • Familiarity with code version control solutions, containerization tools and agile project management solutions
  • Advantageous if familiar with frontend development technology stack like node.js and typescript

Licence no: 12C6060

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