Build Data Lake: ingestion pipelines to Data Lake, drive Master Data Management, participate in Silver Layer Data
Develop AI Models: Assist in building, training, and testing machine learning models for use in areas such as asset tracking, anomaly detection, and predictive maintenance.
Work with Real-World Data: Clean, process, and analyze large datasets from IoT devices to extract meaningful insights.
Collaborate Across Teams: Partner with data scientists, engineers, and product managers to integrate AI features into ORBCOMM platforms.
Experiment & Innovate: Prototype solutions using a variety of AI/ML techniques and evaluate performance with structured testing.
Abstraction & Anonymization algorithms development
Contribute to Deployment: Help prepare models for deployment in production environments, considering performance, scalability, and reliability.
Who You Are:
You’re an organized and curious team player, ready to learn and support a fast-paced Engineering team. If you have:
Post-secondary education in progress in Computer Science, Data Science, Engineering, or related technical field.
Familiarity with Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Understanding of basic ML concepts such as regression, classification, and model evaluation.
Strong problem-solving and analytical skills.
Interest in applying AI to real-world business problems across multiple industries.
Exposure to Azure Data Fabric, API Gateways, PowerBI App building would be preferable.
Leverage AI-enabled tools and automation to support daily tasks and productivity.
Commitment to continuous learning in digital and AI literacy.