AI Engineering Specialist
5 days ago
We are seeking an experienced AI Engineering Specialist to develop and prototype innovative AI solutions that enhance software development productivity. This role will focus on creating rapid prototypes, developing Minimum Viable Products (MVPs), and integrating AI into the software delivery pipeline with a specific emphasis on code generation, quality assurance, test automation, and continuous delivery.
About the RoleThe ideal candidate will have expertise in both MLOps and AI experimentation, focusing on improving developer workflows and overall software development efficiency. Key responsibilities include:
- Rapidly designing, prototyping, and iterating AI-driven solutions that support developer workflows such as code specification, generation, and test automation.
- Collaborating with product and DevSecOps teams to identify and prioritize AI use cases that enhance software development efficiency.
- Leading proof-of-concept (PoC) initiatives, transforming experimental AI ideas into scalable solutions.
- Implementing automation to streamline the development pipeline, including auto-code generation, static code analysis, and error detection.
- Integrating automation tools to boost developer productivity, streamline testing, and optimize release cycles.
- Staying up-to-date with the latest trends and advancements in AI and machine learning technologies.
To be successful in this role, you will need:
- 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, with a focus on rapid prototyping and MVP development.
- A strong understanding of DevSecOps practices and methodologies.
You will also benefit from having:
- 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.
- A 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).
PERSOLKELLY SINGAPORE PTE. LTD. is a leading provider of human resources services. Our mission is to connect people with opportunities and help them achieve their career goals. We offer a competitive salary package, including an estimated SGD 120,000 - SGD 180,000 per annum, depending on experience.
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