AI Engineer

As a AI Engineer specializing in Machine Learning and Natural Language Processing you will lead the development and deployment of stateoftheart AI solutions and products for a diverse client base.

In this role you will need to:

• Design develop and operationalize advanced NLP models such as summarization questionanswering intent recognition dialog/conversational AI semantic search named entity recognition knowledge discovery document understanding and text classification.
  

• Work with a wide range of datasets from various sources including websites wikis enterprise applications document stores file systems conversation platforms social media and databases.
  

• Employ leadingedge algorithms and models from TensorFlow PyTorch and Hugging Face and engage with nextgen LLM frameworks like Langchain and Guardrails.
  

• Utilize modern MLOps practices to evaluate manage and deploy models efficiently and effectively in production environments.
  

• Develop and refine tools and processes to improve model performance and reproducibility across multiple customer engagements.
  

• Build and maintain robust scalable solutions using cloud infrastructure such as AWS and Databricks to deploy LLMpowered systems.
  

• Create evaluation datasets conduct rigorous model testing to ensure they meet high standards of accuracy and usability and present findings and models effectively using platforms like Jupyter Notebooks.
  
  

Basic Qualifications

• Bachelor s degree or higher in Computer Science Data Science Mathematics Statistics or a related field.
  

• Minimum of 2 years of professional experience in machine learning and NLP.
  

• Expertise in Python and software engineering best practices.
  

• Proficiency with deep learning frameworks (TensorFlow or PyTorch).
  

• Familiarity with NLP models frameworks and libraries (e.g. Hugging Face spaCy Haystack).
  

• Experience with large language models (LLMs) including prompt engineering chaining agents and function calls.
  

• Strong skills in deploying and finetuning LLMs in diverse environments.
  

• Knowledge of document databases (e.g. Elastic Search Vespa) is a plus.
  

• Proficient in SQL and Excel.
  

• Exceptional problemsolving analytical and quantitative skills.
  

• Excellent communication and presentation skills capable of leading discussions and projects across multidisciplinary teams.