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Data Analytics/AI Engineer
1 month ago
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.
QlikSense
Security Clearance
Tableau
Machine Learning
Pandas
Modeling
Big Data
HTML
ETL
SQL
Python
Anomaly Detection
Data Science
Visualization
Data Analytics
Power BI