DevOps Engineer for AI-Driven Software Development

24 hours ago

Singapore PERSOLKELLY SINGAPORE PTE. LTD. Full time
Job Overview

We are seeking a highly skilled DevOps Engineer to join our team in Singapore. The ideal candidate will have experience in MLOps, DevSecOps, and AI experimentation, with a focus on rapid prototyping and MVP development.

About the Role

This is a full-time position that requires strong problem-solving skills, an innovative mindset, and excellent collaboration and communication skills. The successful candidate will work closely with DevSecOps, product, and developer teams to integrate AI-driven solutions into our software delivery pipeline.

Key Responsibilities

  • Design, prototype, and iterate AI-driven solutions that 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 enhance software development efficiency.
  • Lead proof-of-concept (PoC) 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.

MVP Development and Iterative Testing

  • Build Minimum Viable Products (MVPs) for new AI solutions, focusing on fast deployment, testing, and user feedback.
  • Establish efficient testing frameworks to evaluate AI models and iterate on improvements quickly.
  • Work closely with developers and QA teams to integrate AI-based prototypes into the software lifecycle and assess their impact on productivity.

End-to-End ML Pipeline Development

  • Design and deploy scalable ML pipelines that support rapid prototyping, with strong processes for model training, testing, deployment, and monitoring.
  • Manage versioning, retraining, and performance tracking to maintain high-quality AI solutions in production.
  • Collaborate with cross-functional teams to refine solutions based on developer feedback and usage data.
  • Establish standards for version control, deployment, and monitoring of ML models in production environments.
  • Develop tools and processes for A/B testing, canary releases, and other ML rollout techniques.
  • Ensure smooth integration of ML models within the internal development ecosystem.

Requirements

  • Bachelor's degree in computer science, Engineering, Data Science, or 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), 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 annum

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