Machine Learning Engineer

TDE Group

You will join our cross-functional AI team to design, build, and implement real-time machine learning models that power next-generation analytics in the energy sector. From raw sensor data to intelligent recommendations, you will develop scalable solutions that help global clients improve efficiency and environmental performance.

Your responsibilities:

• Research and prototype advanced ML and AI techniques to optimize industrial data workflows
• Design, train, test, and deploy machine learning models on large-scale time-series sensor data
• Integrate ML models into cloud-native applications with real-time capabilities
• Collaborate with software engineers, domain experts, and product owners to embed intelligence into our products
• Continuously improve algorithms for automation, anomaly detection, and predictive analytics

Your Skills & Experience:

• Degree in Mathematics, Computer Science, Engineering, or a related field (or equivalent experience)
• 5+ years hands-on experience in data science or machine learning, with a strong emphasis on time-series data and real-world applications
• Deep knowledge of Python and ML libraries (e.g., TensorFlow, PyTorch, etc.)
• Experience working with sensor data and deploying models in production environments
• Familiarity with cloud platforms and tools like AWS, SageMaker, or similar
• Fluent in English (written and spoken)

Your Mindset:

• Passionate about AI, sustainability, and digital transformation
• Analytical thinker and proactive problem solver
• Team-oriented, open-minded, and eager to learn new technologies
• Highly motivated, organized, and ready to take ownership