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AI Innovation Leader

2 weeks ago

Singapore beBeeProductivity Full time $90,000 - $120,000

About the Role


This position is focused on developing and implementing AI-driven solutions to enhance software development efficiency.


Job Summary

The MLDevOps Engineer will be responsible for creating and testing innovative AI solutions aimed at improving software development productivity across the entire Software Factory.


Key Responsibilities:

  • Develop and rapidly iterate on AI-driven prototypes that support and streamline developer workflows, including code specification, code generation, and testing automation.
  • Collaborate with product and DevSecOps teams to identify high-impact AI use cases that improve software development and delivery efficiency.
  • Drive PoC initiatives, transforming experimental AI ideas into feasible and scalable solutions.
  • Implement automation to improve repeatability and reduce manual tasks in the development pipeline, such as auto-code generation, static code analysis, and intelligent error detection.
  • Integrate automation tools that improve developer productivity, streamline testing, and optimize release cycles.

Requirements


Technical Skills
  • Proficiency in Python, Golang, Rust or other relevant languages.
  • Experience with ML frameworks (TensorFlow, PyTorch, LangChain), deployment platforms (Kubernetes) and ML pipeline tools (Kubeflow, MLflow).
  • Familiarity with CI/CD tools (GitLab CI).
  • Knowledge of infrastructure-as-code (IaC) tools like Terraform.
  • Understanding of data pipelines and tools (e.g., Apache Kafka, Spark) for data processing and transformation.
  • Experience in developing RESTful APIs for AI models.

Soft Skills
  • Problem-solving skills and an innovative mindset geared towards improving developer productivity.
  • Collaboration and communication skills to work effectively across DevSecOps, product, and developer teams.

Why This Role Matters


By joining our team, you'll have the opportunity to drive innovation at the intersection of AI and software development, directly impacting the productivity of our development teams.