AI Innovation Engineer

5 days ago


Singapore PERSOLKELLY SINGAPORE PTE. LTD. Full time
Job Description:

We are seeking an experienced AI Innovation Engineer to join our team at PERSOLKELLY SINGAPORE PTE. LTD.

This role focuses on developing and prototyping innovative AI solutions to enhance software development productivity, with a strong emphasis on code generation, quality assurance, test automation, and continuous delivery.

Main Responsibilities:
  • Rapidly design, prototype, and iterate AI-driven solutions to support developer workflows such as code specification, generation, and test automation.
  • Collaborate with product and DevSecOps teams to identify and prioritize AI use cases that improve software development efficiency.
  • Lead proof-of-concept initiatives, transforming experimental AI ideas into scalable solutions.
  • Implement automation to streamline the development pipeline, including auto-code generation, static code analysis, and error detection.
  • Integrate automation tools to boost developer productivity, streamline testing, and optimize release cycles.
  • Stay up-to-date with the latest trends and advancements in AI and machine learning technologies.
Key Qualifications:
  • 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, with a focus on rapid prototyping and MVP development.
  • Strong understanding of DevSecOps practices and methodologies.
Technical Skills:
  • Proficiency in Python, Golang, Rust, or other relevant languages.
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch, LangChain), deployment platforms (e.g., Kubernetes), and ML pipeline tools (e.g., Kubeflow, MLflow).
  • Familiarity with CI/CD tools (e.g., GitLab CI).
  • Knowledge of Infrastructure-as-Code (IaC) tools like Terraform.
  • Familiarity with data processing tools like Apache Kafka, Spark.
  • Experience in developing RESTful APIs for AI models.
  • Strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
  • Familiarity with Retrieval Augmented Generation (RAG) and prompt engineering techniques (e.g., instruction design, template-based approaches).
Estimated Salary:

$120,000 - $180,000 per year, depending on experience.



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