Senior AI Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Supervise the design, development, and implementation of machine learning models that improve our financial platform.

• Lead the development of scalable machine learning solutions for personalized recommendations within the Sezzle marketplace, fraud detection, and credit risk evaluation.

• Collaborate with engineers and data scientists to create large-scale, high-quality solutions that tackle challenges in the shopping and fintech sectors.

• Design and construct scalable machine learning infrastructure on AWS, utilizing services such as AWS Sagemaker.

• Work closely with product teams to develop MVPs for AI-driven features, ensuring rapid iterations and market validation.

• Establish and refine monitoring and alert systems for machine learning models.

• Empower various departments to utilize AI/ML models, including Generative AI solutions, for diverse applications.

• Provide expertise in troubleshooting and resolving issues related to machine learning models in production, participating in on-call rotations.

• Mentor team members through knowledge sharing and collaboration.

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent hands-on experience.

• A minimum of 6+ years of experience in machine learning engineering, with a proven record of deploying scalable ML models in a production setting.

• In-depth knowledge in one or more of the following domains: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical areas.

• A demonstrated history of developing machine learning models from concept to business impact, showcasing the ability to tackle complex challenges with creative solutions.

• Proficiency in Python is required, and experience with Golang is a bonus.

• Proven technical leadership in guiding teams, managing end-to-end projects, and establishing the technical direction to achieve project objectives efficiently.

• Experience with relational databases, data warehouses, and utilizing SQL for exploration.

• Strong familiarity with AWS cloud services, particularly in deploying and managing machine learning solutions and scaling them cost-effectively.

• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for the efficient deployment and management of ML models.

• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences via personalized recommendations.

• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for managing real-time data streams.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance packages.

• Opportunities for professional development and continuous learning.

• Flexible work hours and a remote-friendly environment.

• Generous vacation and leave policies.