Expert AI Software Developer Position

1 week ago

Singapore beBeeMachineLearning Full time

AI Software Engineer Job Description

Our team is seeking a highly skilled AI Software Engineer to design, develop, and deploy AI-powered solutions. This role involves building scalable AI systems, integrating AI / Machine Learning (ML) models into applications, and optimizing AI workflows for production.

  • Implement and optimize AI / ML models in production via containerization for speed, accuracy, and cost-effectiveness.
  • Deploy AI models using RESTful APIs, gRPC, or edge computing solutions.
  • Implement monitoring, logging, and error-handling mechanisms to track AI performance.
  • Design APIs and microservices to integrate AI capabilities into software systems ensuring they are secure, performant, and well-documented.
  • Monitor and optimize model performance in production environments ensuring API latency and availability meet required SLAs.
  • Build scalable high-performance AI pipelines for real-time and batch processing.
  • Implement MLOps best practices including CI/CD for machine learning workflows on both local machines and cloud platforms.
  • Work closely with data scientists to turn research models into deployable solutions.
  • Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment.
  • Stay up-to-date with the latest AI/ML frameworks tools and industry trends in API plugins development continuously improving and enhancing API solutions.
  • Identify opportunities to improve existing AI API/plugins architectures and suggest new features or services adding value to AI products.

Required Skills and Qualifications

  • 3+ years of experience in AI/ML software development.
  • Proven track record of deploying AI solutions in production environments.
  • Strong experience in deploying AI models and API development using RESTful APIs gRPC or edge computing solutions.
  • Strong programming skills in Python Java or C++.
  • Hands-on experience with AI/ML frameworks TensorFlow PyTorch Scikit-learn.
  • In-depth understanding of containerization Docker Kubernetes and DevOps practices.
  • Experience in developing and deploying AI applications running both edge deployment and on cloud infrastructure using Infrastructure as code tools such as Terraform and also cloud AI services AWS SageMaker Google Vertex AI Azure ML.
  • Experience with database management SQL NoSQL and vector databases.
  • Knowledge of distributed computing Spark Dask and parallel processing.
  • Ability and willingness to learn any new technologies and apply them at work in order to stay ahead in a fast-paced high-pressure agile environment.
  • Excellent written and verbal communication skills for coordinating across teams.

Benefits

  • Role based in Singapore office may require up to 1 travel trip per year.
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