Jobfoundry
Jobfoundry
SMRT

Senior Executive, AI Engineer

SMRT
Public Transport & Rail OperationsSingapore, SGFull-time2 weeks ago
Apply Now

About the role

AI summarised

Senior AI Engineer responsible for designing, developing, and deploying machine learning models and AI solutions. The role involves working with cross-functional teams to integrate AI capabilities into products and services, focusing on areas such as NLP, computer vision, and predictive analytics.

TransportFull-timeGeneral

Key Responsibilities

  • Design, develop, and deploy machine learning models and AI solutions to solve complex business problems.
  • Collaborate with product managers, software engineers, and domain experts to define AI requirements and integrate models into production systems.
  • Conduct research and experimentation to explore new algorithms, techniques, and tools to improve model performance and efficiency.
  • Build and maintain scalable data pipelines and infrastructure for model training, evaluation, and deployment.
  • Monitor and optimize model performance in production, ensuring reliability, scalability, and accuracy.
  • Document and communicate technical designs, findings, and best practices to both technical and non-technical stakeholders.
  • Stay up-to-date with the latest advancements in AI and machine learning, and contribute to the team's knowledge sharing and innovation culture.

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
  • 5+ years of experience in machine learning, deep learning, or AI engineering roles.
  • Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience with natural language processing (NLP) and/or computer vision techniques.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
  • Proven track record of deploying and maintaining machine learning models in production environments.
  • Solid understanding of data structures, algorithms, and software engineering best practices.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Strong communication skills to articulate complex technical concepts to diverse audiences.
  • Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, CI/CD for ML) is a plus.
  • Familiarity with big data technologies (Spark, Hadoop) is preferred.
  • Published research or contributions to open-source AI projects is a plus.