Sr. AI engineer (Remote - Latin America)

This position is posted by Jobgether on behalf of Sezzle. We are currently looking for a Sr. AI Engineer in Latin America.

Join a fast-growing fintech innovator as a senior contributor to its AI engineering team, leading the development and deployment of advanced machine learning solutions that power personalized shopping experiences, fraud prevention, and credit risk analysis. This role offers the chance to work on high-impact, production-grade systems using cutting-edge technologies across cloud infrastructure and MLOps pipelines. You’ll thrive in a high-energy, collaborative environment that values innovation, speed, and ownership — helping shape the future of digital commerce while continuously pushing boundaries.

Accountabilities:

• Design and develop scalable ML infrastructure on AWS, including tools like SageMaker for efficient model training and deployment.
• Partner with product teams to prototype and iterate on AI-driven features with business impact.
• Implement robust monitoring and alerting systems to ensure the reliability and performance of ML models.
• Support cross-functional AI initiatives, including the use of Generative AI across different departments.
• Troubleshoot production-level ML issues and participate in on-call rotations for operational support.
• Scale machine learning architectures to support rapid growth while maintaining cost-efficiency.
• Mentor team members, perform code reviews, and elevate the overall skill level of the AI engineering group.
• Stay current on emerging machine learning technologies and AWS advancements, recommending innovative solutions to maintain a competitive edge.

Requirements

• Bachelor's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience).
• 6+ years of experience deploying machine learning models in production environments.
• Expertise in ML areas such as recommendation systems, pattern recognition, or data mining.
• Proven success in end-to-end ML model development, from ideation to business results.
• Proficiency in Python; Golang experience is a plus.
• Strong skills in SQL, working with relational databases and data warehouses.
• Deep familiarity with AWS (especially SageMaker) and cloud-based ML architectures.
• Experience with Docker, Kubernetes, and CI/CD pipelines for ML deployment.
• Skilled in monitoring ML systems with tools like Grafana, Prometheus, or AWS CloudWatch.
• Knowledge of real-time data processing tools like Apache Spark or Kafka.
• High standards, quick decision-making, and a drive to innovate beyond conventional approaches.

Benefits

• Competitive salary ranging from $50,000 to $120,000 USD (gross, per year).
• 100% remote work across Latin America with flexible working hours.
• A highly skilled, mission-driven team focused on redefining digital commerce.
• A culture of ownership, trust, innovation, and continuous learning.
• Opportunities for rapid career growth in a dynamic, high-impact environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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