Company

Akton Recruitment LtdSee more

addressAddressSurrey, England
type Form of workContract, full-time
salary Salary£500.00 per day
CategoryScientific

Job description

Job Title:AI Engineer (Generative AI Focus)
Location: Fully Remote
Contract Duration: 3 Months
Rate: £500/day

Job Description:
We are seeking a skilled and experienced AI Engineer with a focus on Generative AI to join a team at a local authority in Kingston upon Thames. This is a fully remote position on a 3-month contract basis, with the possibility of extension.

Responsibilities:

  • Identify use cases for Generative AI within the local authority context.
  • Collect and process data for input into Generative AI models.
  • Integrate council data into pre-trained models using techniques such as Retrieval Augmented Generation (RAG) and fine-tuning.
  • Work with vector databases and embeddings.
  • Deploy, serve, and monitor models using MLOps / LLMOps practices.
  • Build web applications and user interfaces to facilitate interaction with AI models.
  • Research existing solutions in the market.
  • Develop guidance and standards for deploying AI applications.
  • Coach and upskill colleagues and stakeholders.

Requirements:

  • 5+ years of professional experience in software engineering, data engineering, or machine learning engineering.
  • Proficiency in Python.
  • Knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs).
  • Experience with integrating data into pre-trained Generative AI models using techniques such as RAG and fine-tuning, utilising libraries such as Langchain, LlamaIndex, Hugging Face, or cloud-based tools like AWS Bedrock or Google Vertex AI.
  • Understanding of Natural Language Processing (NLP) techniques such as text embeddings and how different data representations impact model performance.
  • Experience working with vector databases (e.g., Pinecone).
  • Experience building and deploying web applications using cloud technologies.
  • Familiarity with modern software engineering best practices such as test-driven development, CI/CD, and containerisation.
  • Knowledge of MLOps / LLMOps, including model deployment, serving, and monitoring.
  • Experience working in an Agile environment.
  • Ability to lead work autonomously and handle ambiguity.
  • Strong communication and stakeholder management skills, with the ability to adapt to different roles as needed.

If you meet the above qualifications and are excited about the opportunity to contribute to the advancement of AI within the public sector, we encourage you to apply.

Refer code: 2961469. Akton Recruitment Ltd - The previous day - 2024-03-10 16:33

Akton Recruitment Ltd

Surrey, England
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