Job Summary

We're seeking motivated, analytical individuals to work with industrial IoT sensor data, helping to build and scale AI-driven solutions-particularly in language model development and scaling data systems to support real-world industrial applications.

Mandatory Skill Sets:

• Degree in Data Science, Computer Engineer, or any related field;
• Experience with statistical analysis and machine learning techniques, including anomaly detection.
• Knowledge of Python, and libraries like Pandas, NumPy, or Scikit-learn for data processing and modelling.
• Ability to build and manage ETL processes for scalable and efficient data handling.
• Demonstrates flexibility in adapting to evolving tasks and is willing to learn and grow in areas outside their core expertise.
• Able to work on diverse projects that go beyond their current experience and push their technical and analytical capabilities.
• Thrives in a collaborative environment, willing to take on new challenges and contribute to improving processes and systems.

What You'll Be Doing (Your Impact):

• Hands-On Data Mastery - Work with industrial IoT sensor data, uncovering trends, anomalies, and patterns across diverse environments.
• AI & ML Model Development - Design, build, and deploy generative AI and machine learning models for applications such as large language models (LLMs), text-to-speech, and image generation.
• Analytics Experience - Dive into the latest research and apply a mix of statistical methods, machine learning, and deep learning to extract meaningful insights from vast data sources
• Predictive & Prescriptive Modeling - Develop AI models tailored to industrial use cases, driving informed decision-making through predictive and prescriptive analytics.