The role involves designing, developing, and deploying machine learning models to address business challenges. The individual will write production-level code to support scalable solutions and integrate these models into production environments alongside engineering teams. Responsibilities include implementing best practices for model monitoring, versioning, and deployment. The position requires working with cloud platforms to build and maintain infrastructure. Additionally, the role entails partnering with stakeholders to translate business needs into data-driven solutions while providing technical guidance and mentorship to junior staff.

Candidates must possess strong knowledge of machine learning algorithms and modeling techniques. Proficiency in programming with Python or a similar language is required, along with experience using cloud platforms like AWS or GCP. Applicants should have exposure to MLOps practices, model deployment, and data pipeline management. Furthermore, the role requires strong analytical, problem-solving, and communication skills to work effectively within cross-functional teams.