About the Opportunity
Avenue Code is a leading software consultancy that delivers end-to-end development solutions for digital transformation across every vertical.
We're privately held, profitable, and have been on a solid growth trajectory since day one.
We prioritize our clients', partners', and employees' well-being, preferring to use 'partner' over 'vendor'. Our investment in professional relationships reflects this philosophy.
We pride ourselves on our technical acumen, collaborative problem-solving ability, and warm professionalism of our teams.
Avenue Code has promoted plurality actions for over 10 years, recognizing differences and fostering a safe environment, employment opportunities, representation, and support.
The Senior Applied Scientist (AI/ML – Pricing) plays a crucial role in developing and deploying innovative machine learning solutions for retail pricing.
This includes understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives.
Requirements:
* PhD or Master's degree in Computer Science, Machine Learning, Statistics, Operation Research, or related field
* 5+ years of industry experience in applied Machine Learning
* 3+ years of experience in building, deploying, and managing machine learning and deep learning models in production environments at scale
* Deep understanding of ML best practices, algorithms, techniques, and experiment design
* Proficiency with scientific libraries in Python and Machine Learning tools and frameworks
* Strong data engineering skills and experience working with large-scale datasets
* Experience with big data tools and cloud technologies AWS, GCP, or Azure
* Fluency in Python and SQL
Benefits:
* Remote contract opportunity
* Chance to work on innovative machine learning solutions
* Collaborative and dynamic work environment
Interview Process:
An hour-long Python and SQL coding challenge
Avenue Code prioritizes privacy and adheres to global data protection laws such as GDPR, CCPA, and CPRA
Candidate data will be kept confidential and not transmitted to third parties
The company may share information with its clients and other companies within the CompassUol Group
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