Principal ML/AI Engineer IRC291376

About this role

Description
The project is a key initiative focused on transforming a successful private beta service into a robust, scalable, and production-ready feature within the Cognite Data Fusion platform. Docparser leverages advanced AI and Large Language Models (LLMs) to extract valuable, contextualized information from industrial technical documentation, such as equipment specification sheets. This project is moving from a maintenance-only phase to active development with a significant backlog of features driven by high customer demand. The goal is to enhance core functionality, improve performance through activities like load testing, and ensure the service can operate effectively at enterprise scale, contributing significantly to the company’s vision of being the industrial data and AI operating system.


Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with LLMs and integrating them into applications.
• Solid understanding of machine learning principles, algorithms, and techniques.
• Experience with data processing and data manipulation.
• Experience with computer vision.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Preferred Qualifications:

• Experience with industrial data and applications.
• Knowledge of database systems and data warehousing.
• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Familiarity with DevOps practices and CI/CD pipelines.
• Experience with Kotlin.

Job responsibilities

• Develop and implement machine learning models and algorithms for various industrial applications.
• Work on LLM integrations such as the OpenAI API.
• Support configuration ...