Sr. AI engineer

United States Digital Space LLC; Bogotá; Presencial; COP 156.206.000 - 374.895.000; Jornada completa

Descripción de la vacante

United States Digital Space LLC seeks a Sr. AI Engineer to lead design, development, and deployment of scalable ML models powering our fintech platform. You will partner with product teams to ship MVPs, build robust monitoring, and ensure production readiness across departments in a fast-growing environment.

The role emphasizes ML infrastructure on AWS, MLOps, and mentoring a high-performing team while staying ahead of industry advances to deliver a cutting-edge shopping and payments experience.

Formación

• Bachelor's degree in CS/Engineering or a related field.
• 6+ years of experience in machine learning engineering.
• Experience deploying scalable ML models in production.
• Proficiency with Python; Golang is a plus.
• Experience with Claude or similar LLM tools.
• Strong knowledge of AWS, Kubernetes, Docker, and CI/CD.

Responsabilidades

• Design, build, and maintain scalable ML infrastructure on AWS (Sagemaker) for training and deployment.
• Collaborate with product teams to develop MVPs for AI-driven features and test commercially.
• Develop monitoring and alerting frameworks for ML models to ensure reliability.
• Enable AI/ML adoption across departments for varied use cases.
• Provide production support and participate in on-call rotations for ML systems.
• Scale ML architecture to support rapid user growth with cost-efficiency on AWS.
• Mentor team members and elevate overall team capabilities through knowledge sharing.
• Stay updated with ML and AWS advances to maintain competitive edge.

Conocimientos

Claude or equivalent LLM tools

Python

AWS

ML Deployment

Leadership

Educación

Bachelor's degree in CS/Engineering or related field

Herramientas

AWS

Kubernetes

Docker

CI/CD

Prometheus

Grafana

SQL

Apache Spark

Kafka

Descripción del empleo

The salary range for this role is $50,000 - $120,000 per year (Gross in USD)

About the company:

With a mission to financially empower the next generation, the company is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at the company and help create the future of shopping!

About the Role:

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the the company marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• 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.

• 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.

• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.

• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.

• 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.

• 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.

• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.

• 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.

What We Look For:

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

• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• 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.

About You:

• You have relentlessly high standards – many people may think your standards are unreasonably high. You are conti