As an AI Engineer, you will have experience in Python, Databricks, and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives.
The role involves developing and maintaining AI projects deployed entirely as notebooks within Databricks, optimizing large-scale datasets using PySpark, and ensuring the scalability and sustainability of the codebase.
You will work closely with data scientists, software engineers, and domain experts to understand the business needs and translate them into AI applications.
Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability, helping bridge the gap between data science and production-ready AI systems.
Requirements & Skills:
Experience of working in a Scrum Team and an Agile environment
Solid software engineering background covering SOLID principles with Python experience.
Experience writing unit tests and integration tests
Knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI techniques and algorithms
Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools
Some experience in utilising Large Language Models (LLMs) such as Amazon Bedrock, OpenAI’s GPT, or Hugging Face models to develop AI-driven applications, including text generation, summarization, code completion, and conversational AI.
Some experience in using cloud-based AI services, such as AWS Comprehend (Natural Language Processing), Amazon Rekognition (Computer Vision), and Amazon Textract (Document Intelligence), for building AI-driven solutions.
