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Jobs/AI Engineer Role/Sezzle - Sr. AI Engineer
Sezzle

Sezzle - Sr. AI Engineer

Remote - Mexico$50k - $120k1w ago
RemoteSeniorLATAMCloud ComputingArtificial IntelligenceAI EngineerPythonAWSTeam LeadershipLearning & DevelopmentSQLDockerKubernetesPrometheusApache SparkKafkaGrafana

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Requirements

• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge. • Stay Ahead of the Curve: • What We Look For: • What We Look For: • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience. • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment. • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields. • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions. • Proficiency with Python is required, and experience with Golang is a plus. • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently. • Experience working with relational databases, data warehouses, and using SQL to explore them. • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner. • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for 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 through personalized recommendations. • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed. • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things • You’re not bound by convention • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking. • You need action • You earn trust - you listen attentively, speak candidly, and treat others respectfully. • You earn trust • You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly. • You have backbone; disagree, then commit • You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle. • You deliver results • What Makes Working at Sezzle Awesome: • At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. • #Li-remote #full-time

Responsibilities

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment. • Design, Build, and Maintain Scalable ML Infrastructure: • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively. • Collaborate with Product Teams: • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime. • Develop Monitoring & Alerting Frameworks: • Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases. • Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution. • Provide Production Support: • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency. • Scale ML Architecture: • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.

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