Remote AI/ML Engineer

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Description:

  • The Texthelp Group and n2y, with over 50 years of combined experience, are seeking an AI/ML Engineer to join their team remotely in the UK.
  • The role involves supporting the development of AI and ML applications and internal tools to stay at the forefront of the field.
  • The engineer will work on building impactful Machine Learning and Generative AI applications using Python and engaging with various Generative AI models.
  • Responsibilities include developing Generative AI solutions, writing efficient code, scaling solutions, providing feedback, and supporting ML projects throughout their lifecycle.
  • The role offers the opportunity to work with models from OpenAI, Anthropic, and Google, building customer-facing applications and fine-tuning new models with proprietary data.
  • The engineer will collaborate within the AI Technology team, keep up with emerging trends in ML and AI, and support the wider business machine learning needs.

Requirements:

  • 2+ years of work experience in ML Engineering, Data Science, or a related role.
  • Proficiency in Python for Machine Learning using tools like pandas, numpy, sklearn, pytorch, etc.
  • Demonstrated experience using Machine Learning to deliver a project in a personal or commercial context.
  • Demonstrable interest in Machine Learning and Generative AI.
  • Experience with SaaS LLMs like OpenAI and knowledge of common techniques in this space.
  • Familiarity with Huggingface transformer-based models, LLM frameworks such as LlamaIndex, LangChain, or Haystack.
  • Experience in training, deploying, and monitoring ML models, working with cloud-based platforms like AWS, Azure, or GCP.
  • Experience working in an Agile development environment.

Benefits:

  • Opportunity to work with cutting-edge technologies in the field of AI and ML.
  • Collaborative and innovative work environment that embraces diversity.
  • Mentorship from experienced leaders and collaboration with a dedicated team to enhance skills.
  • Engage in hands-on projects and work with various Generative AI models.
  • Supportive environment for learning and growth in the fields of ML and AI.
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