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Senior Applied Scientist (Ai / Ml)
Job summary
A leading software consultancy located in Parnamirim is seeking a Senior Applied Scientist specializing in AI/ML for pricing solutions. The ideal candidate will have a PhD or Master's degree and at least 5 years of experience in the field. Responsibilities include developing machine learning models and translating complex business problems into mathematical objectives. Proficiency in Python, SQL, and cloud technologies is essential. This position offers a remote contract opportunity.
Qualifications
- 5+ years of industry experience in applied Machine Learning.
- 3+ years managing machine learning models in production environments.
- Deep understanding of ML best practices including A/B testing.
- Strong data engineering capabilities with large datasets.
- Fluency in Python for machine learning development.
Responsibilities
- Develop and deploy machine learning solutions for retail pricing.
- Translate complex business problems into mathematical objectives.
- Collaborate with teams to ensure effective machine learning implementation.
Skills
Education
Tools
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.
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.
- 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.