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 settings
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)
Working knowledge of techniques such as feature engineering, model selection, hyperparameter tuning, transfer learning and model optimization (e.g., pruning, quantization)
Ability to implement end-to-end ML workflows, including data preprocessing, model development, evaluation and deployment, with support for human-in-the-loop and decision-support systems

📌 Ai Ml Specialist Chennai (India)
🏢 HCLTech
📍 India