Senior Machine Learning Engineer

We are partnering with a leading technology company that is at the forefront of innovation in machine learning and artificial intelligence, developing cutting-edge solutions that transform industries.The Role Design, develop, train, evaluate, and deploy production-grade machine learning and deep learning models for computer vision applications. Build end-to-end machine learning pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement. Train deep neural networks from scratch on large-scale image datasets and optimize model architectures for accuracy, latency, scalability, and robustness. Develop computer vision solutions for image classification, object detection, segmentation, localization, image similarity, and feature extraction. Own the complete machine learning lifecycle, including experiment design, hyperparameter optimization, model versioning, model registry, reproducible training pipelines, and model performance monitoring. Lead and mentor Machine Learning Engineers, Data Scientists, and Software Engineers, providing technical direction and establishing engineering best practices.What You'll Need Proven experience in designing, developing, and deploying machine learning and deep learning models, specifically in computer vision. Expertise in building and managing end-to-end machine learning pipelines. Strong background in training deep neural networks on large-scale image datasets. Ability to optimize model architectures for accuracy, latency, scalability, and robustness. Experience with distributed training pipelines utilizing multiple GPUs and processing large-scale datasets. Proficiency in applying model explainability techniques and collaborating with cross-functional teams.What's On Offer The opportunity to work on innovative, production-ready AI solutions. A collaborative environment with cross-functional teams. The chance to lead and mentor other engineers and data scientists. An impact on driving continuous model improvements through hypothesis-driven experimentation.Apply via Haystack today!