AI Solutions Architect

12 hours ago


Singapore BARRINGTON JAMES LIMITED SINGAPORE BRANCH Full time
Role Overview

We are seeking a seasoned AI Solutions Architect to spearhead the integration of AI models into production systems, ensuring seamless operation and optimal performance.

This role involves collaborating with various teams to drive innovative AI solutions and making impactful contributions to our technology landscape.

Key Responsibilities:

  • Develop and maintain efficient, high-quality code following industry best practices.
  • Utilize DevSecOps tools for effective code deployment and version management.
  • Perform thorough research and analysis on retrieval techniques, language models, and generative AI methodologies.
  • Work with data engineers to enhance data pipeline efficiency and ensure data accuracy.
  • Continuously refine retrieval-augmented generation (RAG) methods and processes, including embedding, chunking, loading, and search algorithms.
  • Experiment with diverse retrieval strategies such as information retrieval, nearest-neighbor searches, and knowledge graph-based retrievals to enhance generative AI models.
  • Optimize and fine-tune AI models to improve performance, scalability, and accuracy.
  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver AI-driven solutions.
  • Present findings and insights to stakeholders, contributing to strategic decision-making.
  • Thoroughly document AI models, algorithms, and processes.
  • Prepare and deliver technical reports and presentations to communicate results and methodologies.
  • Stay informed about the latest advancements in AI and machine learning technologies.
  • Participate in Agile ceremonies to manage and execute prioritized projects and features.
  • Implement automated testing and monitoring techniques to ensure the reliability and accuracy of AI systems.
Requirements

Candidates with qualifications in quantitative, scientific, or technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, or Bioinformatics are preferred.

The ideal candidate should possess at least 4 years of experience in AI Engineering and demonstrate strong programming skills in Python.

They should also have proven experience in building scalable AI solutions using modern technology stacks, including cloud services, data pipelines, and databases.

A solid understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics, is essential.

Additionally, familiarity with Retrieval Augmented Generation (RAG) techniques and knowledge of prompt engineering techniques are highly desirable.

Estimated Salary

$120,000 - $180,000 per annum, depending on location and experience.



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