Ai/Machine Learning Engineer

We are seeking passionate and experienced AI/Machine Learning Engineer proficient in a variety of libraries in Python to develop personalized protection strategies for motor applications.

Responsibilities:

• Integrate protection policies into simulations, analyze outcomes, and refine models for desired objectives.
• Analyze computation time and classification performance to optimize feature extraction and decision-making processes.
• Fine-tune machine learning models to achieve project goals and define validation metrics for optimal performance.
• Analyze signals / time-series for differentiation between inrush and short-circuit events.
• Design scalable data pipelines for preprocessing, feature extraction, and model training/validation.
• Collaborate with engineers to apply protection policies in practical scenarios, simulate outcomes, and measure performance.

Qualifications:

• Proficiency in Platforms such as GitHub, Hadoop, Kubernetes, Docker, etc
• Education background in Computer Science, Electrical Engineering or related fields
• Ability to create backend software using SQL/NoSQL databases and API framework
• Strong Python with proficient in several libraries
• Proficiency in Cloud Platforms and experiment tracking tools