Machine Learning Engineer for Competitive Assortment Benchmarking
hace 4 semanas
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our Data Science team at Centric Pricing. As a key member of our team, you will be responsible for ensuring the smooth operation of our current data science pipelines, developing new machine learning pipelines and algorithms, and contributing to the expansion and improvement of our infrastructure to support all stages of the machine learning model lifecycle.
Key Responsibilities:
* Create datasets from our huge data lake of products and social media data, selecting the most relevant items for your use case and ensuring data quality.
* Hands-on train, deploy, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
* Contribute to expanding and improving the infrastructure to support all stages of the machine learning model lifecycle, including feature engineering, feature store, model training, testing, monitoring, and deployment in a production environment.
* Proactively identify and implement internal process improvements, including automating manual work, optimizing data delivery, and re-designing infrastructure for greater scalability.
* Stay up-to-date with the latest industry trends and technologies to ensure our ML capabilities remain competitive and cutting-edge.
Requirements:
* 3+ years of experience working as a software engineer.
* Strong background in machine learning and deep learning.
* Proficiency in Python and experience with Keras and PyTorch.
* Experience with Django and PostgreSQL databases.
* Strong understanding of cloud-native technologies and observability tools.
What We Offer:
* Opportunity to work with a leading AI-driven competitive assortment benchmarking and market trend insights solution.
* Collaborative and dynamic work environment.
* Competitive salary and benefits package.
How to Apply:
If you are a motivated and experienced Machine Learning Engineer looking for a new challenge, please submit your application, including your resume and a cover letter outlining your experience and qualifications.
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