AI ML Specialist (Bengaluru)

Role & responsibilities Artificial Intelligence and Machine Learning Specialist. Preferred candidate profile Responsibilities: - Contribute to the development and deployment of ML, deep learning and computer vision solutions for industrial use cases across the Vestas value chain - Build and enhance ML/DL/CV solution components, including pipelines and inference workflows, while developing and optimizing deep learning and computer vision models - Integrate ML, deep learning and computer vision capabilities into enterprise applications and edge/cloud systems using APIs, microservices and containerized environments - Collaborate with solution team to deliver reliable ML/DL/CV solutions end-to-end, contributing to development, testing and deployment while following engineering and MLOps standards - Continuously learn and apply best practices in traditional ML, deep learning and computer vision, including advancements in model architectures, training techniques and deployment optimization Competencies: - Traditional ML & Deep Learning Systems Engineering - Ability to contribute to building scalable and reliable ML, deep learning and computer vision systems with focus on performance, robustness, data integrity and maintainability - Understanding of standard design patterns and engineering practices for training, evaluating and deploying ML/DL models (including distributed training and effective inference) - Familiarity with deploying and integrating ML/CV solutions into production environments across cloud and edge systems - ML, Deep Learning & Computer Vision Solution Development - Hands-on capability in developing ML, deep learning and computer vision solutions for structured data, image/video data and industrial use cases - Working knowledge of computer vision techniques such as object detection, image classification, segmentation and video analysis, along with deep learning architectures (CNNs, vision transformers, transfer learning and model optimization) - Worki .