Nextracker is looking to optimize the performance and reliability of utility-scale solar power plants around the world by developing and evaluating machine learning models for image-based object detection and tracking.
Requirements
- Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Familiarity with image processing techniques and computer vision concepts.
- Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
Responsibilities
- Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
- Preprocess and annotate image datasets for training and validation.
- Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
- Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
- Analyze model performance and contribute to iterative improvements.
- Document findings, experiments, and best practices.
Other
- Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Excellent problem-solving skills and a collaborative mindset.
- Nextracker is an equal opportunity employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
