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Machine Learning Engineer
2 months ago
Enable is a leading SaaS rebate management platform that drives trusted relationships between B2B trading partners. Our platform creates value for customers by providing technology solutions to automatically detect and report on rebate due.
Job DescriptionWe are seeking a highly skilled Machine Learning Engineer to join our dynamic and innovative team. As a key member of our Data team, you will work on designing, developing, and deploying ML models that enhance our SaaS rebate management platform.
Key Responsibilities- Design and engineer scalable machine learning pipelines and systems to integrate and deploy models efficiently.
- Collaborate with data scientists to optimize and productize ML algorithms and models, ensuring they are production-ready.
- Lead the deployment and operationalization of models in production, implementing CI/CD and ensuring robustness, scalability, and fault tolerance.
- Continuously monitor and enhance the performance and reliability of deployed models, implementing A/B testing, versioning, and rollback strategies.
- Mentor junior team members, provide technical guidance, and contribute to the overall engineering strategy of the team.
- 5+ years of experience in machine learning engineering, software engineering, and MLOps.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar.
- Extensive experience with cloud platforms (Azure, AWS, GCP) and implementing MLOps practices for automated, scalable, and reproducible ML pipelines.
- Proven track record of engineering and deploying ML models and solutions in production environments, including monitoring, scaling, and maintaining model performance.
- Strong analytical and problem-solving skills with an engineering-oriented mindset.
- Excellent communication skills and ability to work in a collaborative, fast-paced engineering environment.
Enable is an equal employment opportunity employer and complies with applicable federal, state, and local laws governing nondiscrimination in employment. We prohibit any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or veteran status.
