AI Innovation Specialist

2 days ago

Singapore PERSOLKELLY SINGAPORE PTE. LTD. Full time
About the Role

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

Key Responsibilities

The successful candidate will be responsible for developing and prototyping innovative AI solutions to enhance software development productivity. This role involves creating rapid prototypes, developing MVPs, and integrating AI into the software delivery pipeline with a focus on code generation, quality assurance, test automation, and continuous delivery.

  • Rapidly 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

The ideal candidate will build Minimum Viable Products (MVPs) for new AI solutions focusing on fast deployment, testing, and user feedback. They will establish efficient testing frameworks to evaluate AI models and iterate on improvements quickly.

  • Build 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

The selected candidate will design and deploy scalable ML pipelines that support rapid prototyping, with strong processes for model training, testing, deployment, and monitoring.

  • 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.
Collaboration with DevSecOps Team

The successful candidate will collaborate with DevSecOps engineers to integrate ML workflows into existing CI/CD pipelines, supporting security measures for ML processes to ensure compliance with DevSecOps policies.

  • Collaborate with DevSecOps engineers to integrate ML workflows into existing CI/CD pipelines.
  • Support security measures for ML processes to ensure compliance with DevSecOps policies.
  • Automate workflows and scripts to manage ML pipeline processes for faster, more reliable, and secure deployments.
  • Integrate automation into DevSecOps workflows, ensuring repeatability and reducing manual tasks.
About You

To succeed in this role, you should have a Bachelor's degree in computer science, engineering, data science, or a related field, and 3+ years of experience in MLOps, DevOps, or AI experimentation. Strong understanding of DevSecOps practices and methodologies is essential.

You should have proficiency in Python, Golang, Rust, or other relevant languages, experience with ML frameworks like TensorFlow, PyTorch, and LangChain, and familiarity with CI/CD tools like GitLab CI and Infrastructure-as-Code (IaC) tools like Terraform.

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