Senior Applied Scientist (AI / ML)

Avenue Code; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading software consultancy is seeking a Senior Applied Scientist to develop and deploy machine learning solutions for retail pricing. The ideal candidate should have 5+ years of experience in applied ML and be proficient in Python and SQL. A strong background in machine learning techniques, along with leadership qualities, is essential for success in this role. This position is remote and offers a contract arrangement. Join us to impact the world of pricing strategies in retail.

Qualificações

• 5+ years of industry experience in applied Machine Learning.
• 3+ years experience in deploying and managing ML models at scale.
• Deep understanding of ML best practices and algorithms.

Responsabilidades

• Develop and deploy innovative ML solutions for retail pricing.
• Translate complex real-world problems into mathematical objectives.

Conhecimentos

Machine Learning

Deep Learning

Data Engineering

Python

SQL

Formação académica

PhD or Masters degree in Computer Science or related field

Ferramentas

ScikitLearn

Tensorflow

Keras

PyTorch

Apache Beam

Apache Kafka

Spark

Descrição da oferta de emprego

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

Preferred Requirements

• PhD preferred (CS, ML, AI, Statistics, Operation Research or related field)
• Background in applying ML techniques to solve real-world business problems in the retail sector, especially pricing.
• Familiarity with MLOps tools and pipelines.
• Impact-focused and passionate about delivering high-quality models.
• Demonstrated leadership experience, with the ability to lead and inspire a team.

Interview

one-hour Python and SQL coding challenge.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.