The role involves developing and implementing machine learning models to support customer-centric business initiatives. The individual will collaborate with cross-functional teams to translate business requirements into technical solutions. Responsibilities include writing clean, production-quality code and assisting in the maintenance of data pipelines and workflows. The position requires participating in model validation, testing, and deployment processes. Additionally, the role involves communicating findings and insights to both technical and non-technical stakeholders within an agile environment.

Candidates must possess a bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field. The role requires two to four years of professional experience in machine learning or data engineering. Applicants need a solid understanding of machine learning algorithms and proficiency in Python and SQL. Strong collaborative and communication skills are also necessary for this position.