AI/ML Engineer to Build an AI Algorithm

We are looking for a skilled AI/ML Engineer with expertise in machine learning and time-series forecasting to develop a 'prediction algorithm' for a mine site conveyor system app. This AI model will leverage historical data, real-time environment data (heat, vibration, pressure), and cross-site learning to achieve 99.99% Accuracy in the algorithm over time.

The ideal candidate may have experience in developing AI-driven models, handling large-scale data, and integrating machine learning models with backend systems.

Key Responsibilities:

- Design and develop an AI-driven algorithm for a mine site conveyor
- Work closely with our App team as they are building the app.

Secondary Responsibilities:

- Optimize AI performance by integrating deep learning models with databases.
- Work closely with the backend team to deploy AI models via APIs or cloud-based solutions (AWS, GCP, or Azure).
- Ensure AI models improve over time, reaching 99.99% prediction accuracy.

Required Skills & Qualifications:

- Strong proficiency in Machine Learning & AI Development (TensorFlow, PyTorch, Scikit-learn).
- Expertise in Predictive Maintenance & Time-Series Forecasting.
- Experience with Industrial IoT Data Processing & Failure Prediction Models.
- Proficiency in Python, SQL, and API integration for AI model deployment.
- Cloud deployment experience on AWS, Google Cloud, or Azure.
- Ability to self-optimize AI models based on real-world failure outcomes.
- Strong analytical and problem-solving skills.

Preferred Qualifications:

- Experience with Computer Vision & Image Processing

Why Join Us?

- Work on a cutting-edge AI-driven predictive maintenance system in the mining industry.
- Opportunity to develop a multi-site learning AI model with real-world impact.
- Be part of an innovative team leveraging AI for industrial efficiency.
- Competitive compensation and long-term collaboration and bonus potential.