Data Analytics/AI Engineer

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:

1. Degree in Data Science, Computer Engineering, or any related field;
2. Experience with statistical analysis and machine learning techniques, including anomaly detection.
3. Knowledge of Python, and libraries like Pandas, NumPy, or Scikit-learn for data processing and modelling.
4. Ability to build and manage ETL processes for scalable and efficient data handling.
5. Demonstrates flexibility in adapting to evolving tasks and is willing to learn and grow in areas outside their core expertise.
6. Able to work on diverse projects that go beyond their current experience and push their technical and analytical capabilities.
7. 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):

1. Hands-On Data Mastery - Work with industrial IoT sensor data, uncovering trends, anomalies, and patterns across diverse environments.
2. 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.
3. 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.
4. Predictive & Prescriptive Modeling - Develop AI models tailored to industrial use cases, driving informed decision-making through predictive and prescriptive analytics.
5. Technical Growth & Problem-Solving - Gain hands-on experience processing large, diverse datasets, solving real challenges like missing data, and normalization.
6. Collaborative Learning & Industry Insights - Partner with subject matter experts (SMEs) to refine analytical strategies, ensuring your discoveries drive meaningful environmental improvements in real-world applications.
7. Automation & Scalability Skills - Learn how to build and optimize automated data pipelines, enabling real-time analysis and enhancing data flow and anomaly detection through industry-leading platforms and tools.
8. Communication & Impact - Develop essential skills in presenting insights through reports and presentations, effectively communicating your findings to stakeholders.

Why This Role is for You:

1. You’re excited about working on industrial IoT sensor data.
2. You want to develop in-demand technical skills in machine learning, automation, and scalable data processing.
3. You thrive in a collaborative environment that encourages innovation and continuous learning.
4. You want your work to make a tangible difference in sustainability efforts.