Senior Applied Scientist

Há 2 dias


são paulo, Brasil Avenue Code Tempo inteiro

About the company: Avenue Code is the leading software consultancy focused on delivering 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 care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams. Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture. About the opportunity: Remote : Contract The Senior Applied Scientist (AI/ML – Pricing) plays a crucial role in the development and deployment of innovative machine learning solutions for retail pricing that includes understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives ✅ Minimum Requirements: - PhD or Masters degree in Computer Science, Machine Learning, Statistics, Operation Research or related field - 5+ years of industry experience in applied Machine Learning, 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale - Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design - Proficiency with scientific libraries in Python (numpy, pandas, polars) and Machine Learning tools and frameworks (ScikitLearn, Tensorflow, Keras, PyTorch) - Strong data engineering skills and experience working with large scale datasets - Experience with big data tools (Apache Beam, Apache Kafka, Spark) - Experience with cloud technologies AWS, GCP or Azure - Fluency in Python, SQL


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