Senior AI Engineer

2 weeks ago


Singapore MyCareersFuture Full time
Job Summary

We are seeking a highly skilled Senior AI Engineer to join our team at MyCareersFuture. As a key member of our AI engineering team, you will be responsible for developing and implementing cutting-edge AI solutions using Python.

Key Responsibilities
  • Design and develop efficient AI models and algorithms using Python, ensuring high performance and scalability.
  • Collaborate with data engineers to ensure seamless integration of AI models with data pipelines.
  • Conduct in-depth research and analysis on retrieval techniques, language models, and generative AI methods to enhance our AI solutions.
  • Develop and refine Retrieval Augmented Generation (RAG) methods, including embedding, chunking, and search algorithm optimization.
  • Explore various retrieval strategies to enhance generative AI models, including information retrieval, nearest-neighbor searches, and knowledge graph-based approaches.
  • Optimize and fine-tune AI models for improved performance, scalability, and accuracy.
  • Partner with cross-functional teams to understand requirements and deliver AI-driven solutions.
  • Present insights and findings to stakeholders, contributing to strategic decisions.
  • Document AI models, algorithms, and processes thoroughly.
  • Prepare technical reports and presentations to effectively communicate results.
  • Stay current with the latest advancements in AI and machine learning technologies.
  • Participate in Agile ceremonies to execute prioritized projects and features.
  • Implement automated testing and monitoring to ensure AI system accuracy and reliability.
Requirements
  • 4+ years of experience in AI engineering.
  • Proficiency in Python programming.
  • Experience in building scalable AI solutions using modern technology stacks, including cloud services, data pipelines, databases, and necessary tooling.
  • Familiarity with CI/CD processes and test-driven development.
  • Experience in developing Restful APIs for AI models.
  • Strong 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.
  • Excellent communication and collaboration skills.
  • Strong analytical and organizational skills, capable of managing multiple projects.
Preferred Qualifications
  • Experience with Agile methodologies.
  • Knowledge of additional programming languages such as TypeScript, C#, or Java.
  • Demonstrated experience in developing and refining prompts for generative AI models, particularly in creative or text generation areas.
  • Experience with AWS Cloud and building, deploying, and managing Docker images.

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