Machine Learning Engineer for Software Development Efficiency

4 weeks ago


Singapore GASOIL PTE. LTD. Full time
About GASOIL PTE. LTD.
As an international company, we are seeking a skilled MLDevOps Engineer to join our team on a permanent position in Commonwealth. Our ideal candidate will focus on creating and testing innovative AI solutions to improve software development productivity across the entire Software Factory.

Roles & Responsibilities
We are looking for an experienced professional in MLOps and AI experimentation with a keen focus on delivering solutions that facilitate code generation, quality assurance, testing automation, and continuous delivery. The successful candidate will be responsible for rapid prototyping, developing MVPs, and iterating on product prototypes to integrate AI effectively into our software delivery process.

A Day in the Life of a MLDevOps Engineer
The ideal candidate will have experience in both MLOps and AI experimentation, with a strong focus on delivering solutions that improve developer productivity. This role involves developing and rapidly iterating on AI-driven prototypes that support and streamline developer workflows, including code specification, code generation, and testing automation. The engineer will also collaborate with product and DevSecOps teams to identify high-impact AI use cases that improve software development and delivery efficiency.

Key Responsibilities:
  • Rapidly develop and iterate on AI-driven prototypes that support and streamline developer workflows.
  • Collaborate with product and DevSecOps teams to identify high-impact AI use cases.
  • Drive proof of concept (PoC) initiatives, transforming experimental AI ideas into feasible and scalable solutions.
  • Implement automation to improve repeatability and reduce manual tasks in the development pipeline.
  • Integrate automation tools that improve developer productivity, streamline testing, and optimize release cycles.

MVP Development and Iterative Testing
The successful candidate will build Minimum Viable Products (MVPs) for new AI solutions, focusing on quick deployment, testing, and user feedback. Establish efficient testing and evaluation frameworks to assess the effectiveness of AI models and rapidly iterate on improvements.

Qualifications:
We are looking for a candidate with a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's degree preferred). 3+ years of experience in MLOps, DevOps, or AI experimentation is required. Strong understanding of DevSecOps practices, tools, and methodologies is necessary. Proficiency in Python, Golang, Rust or other relevant languages is essential. Experience with ML frameworks, deployment platforms, and ML pipeline tools is highly desirable.

Salary: SGD $120,000 - SGD $180,000 per annum

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