Senior Machine Learning Engineer
Haystack · United States · 1 mo ago
RemoteRemoteEngineeringFull-time
About the role
We are working with a leading technology solutions provider specializing in AI and machine learning, helping businesses leverage cutting-edge innovations to drive growth and efficiency.
Responsibilities
- 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 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, 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.
Requirements
- Proven experience in designing, developing, and deploying machine learning and deep learning models for computer vision.
- Strong background in building and managing end-to-end machine learning pipelines.
- Expertise in training deep neural networks and optimizing model architectures.
- Experience with distributed training pipelines, utilizing multiple GPUs and processing large-scale datasets.
- Proficiency in applying model explainability techniques.
- Collaborative mindset with experience working alongside Product Managers, Data Scientists, and other engineering teams.
Benefits
- Opportunity to work on cutting-edge AI and machine learning projects.
- A role with significant impact on technical direction and engineering best practices.
- Mentorship and leadership opportunities within a dynamic team.
- Engagement with a variety of stakeholders to deliver robust AI solutions.