Machine Learning Specialist

Skill Set:

• Artificial Intelligent
• Machine Learning
• Computer Vision
• Gen AI
• Python
• LLM

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 efficient 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