Fortune Brands Innovations, Inc. is seeking a Machine Learning Engineer to develop, maintain, and enhance machine learning models, focusing on computer vision, deep learning, and deploying ML models in containerized environments.
Requirements
- Master's or Bachelor's degree in Computer Science, Machine Learning, or related field.
- 3+ years of experience in developing and deploying machine learning models.
- Experience building and maintaining web-enabled AI solutions including front-end and back-end development hosted in the Azure
- Strong background in computer vision and image classification.
- Proficiency in Python and machine learning frameworks (TensorFlow required, ONNX or PyTorch a plus).
- Experience with containerized ML deployments (Docker, Kubernetes).
- Familiarity with REST APIs and microservices architectures.
Responsibilities
- Develop and enhance TensorFlow-based image classification models.
- Design and implement training pipelines for model iteration and improvement.
- Analyze model performance and implement techniques to improve accuracy and reduce false positives.
- Maintain and optimize existing ML inference services deployed in Kubernetes.
- Collaborate with Engineers to ensure seamless integration between machine learning components and API services.
- Monitor model performance in production and implement strategies to handle data drift.
- Work with labeled datasets from the review interface to improve model quality.
Other
- Master's or Bachelor's degree in Computer Science, Machine Learning, or related field.
- 3+ years of experience in developing and deploying machine learning models.
- Must be eligible to work in the United States
- Fortune Brands is an equal opportunity employer.
- Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities.
