An international company located in Singapore is seeking an MLDevOps Engineer on permanent position.
The MLDevOps Engineer will focus on creating and testing innovative AI solutions aimed at improving software development productivity across the entire Software Factory. This role will be responsible for rapid prototyping, developing MVPs, and iterating on product prototypes to integrate AI effectively into our software delivery process. The ideal candidate is experienced in both MLOps and AI experimentation, with a keen focus on delivering solutions that facilitate code generation, quality assurance, testing automation, and continuous delivery.

EDUCATION AND EXPERIENCE

• 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 strong focus on rapid prototyping and MVP development.
• Strong understanding of DevSecOps practices, tools, and methodologies.

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 Al models.
• Good understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
• Knowledge of Retrieval Augmented Generation (RAG) techniques.
• Familiarity with prompt engineering techniques like instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.

PROTOTYPING AND EXPERIMENTATION SKILLS

• Demonstrated experience in developing MVPs and iterating on product prototypes with quick turnaround times.
• Skilled in conducting PoCs and building scalable solutions based on experimental results and user feedback.
• Ability to work in a fast-paced, agile environment with a focus on continuous experimentation and learning.

SOFT SKILLS

• Strong problem-solving skills and an innovative mindset geared towards improving developer productivity.
• Excellent collaboration and communication skills to work effectively across DevSecOps, product, and developer teams.
• Self-driven, adaptable, and capable of managing multiple AI-driven projects in a dynamic setting.

PREFERRED SKILLS

• Experience with AI models for code generation, automated testing, and intelligent debugging.
• Knowledge of security protocols and compliance measures for integrating AI within a DevSecOps environment.
• Experience with Agile methodologies.
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana) and model explainability tools.
  More openings at www.gasoil.com.s