Senior MLOps Engineer — Remote AI Production

FullStack; Santiago; Presencial; CLP 24.000.000 - 42.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Continuing education opportunities

Career growth

Descripción de la vacante

FullStack invites experienced software professionals to join our talent network for flexible, project-based work as a Senior MLOps Engineer. You will collaborate with client teams, contributing to production ML systems and scalable data pipelines.

The role requires 5+ years in software engineering and MLOps, with advanced English and a four-year degree. You will work remotely, liaising with US-based clients and teams, delivering high-quality ML solutions and continuously improving deployment

Formación

• 5+ years of professional experience in Software Engineering, MLOps, ML Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Extensive experience building and operating MLOps platforms and production machine learning workflows.
• Hands-on experience with Vertex AI, MLflow, Kubeflow, or similar MLOps tooling.
• Strong background in feature stores, feature pipelines, SQL, and data workflows.
• Proven experience developing backend services using Python, Go, Ruby, JavaScript, or similar languages.
• Demonstrated experience working with GCP or other major cloud platforms such as AWS or Azure.
• Practical experience implementing A/B testing and experimentation frameworks for ML-driven products.
• Experience with AI-assisted development tools and incorporating AI into engineering workflows.
• Solid understanding of scalable, reliable, and production-ready ML systems.
• Familiarity with search or recommendation systems, real-time systems, and latency/performance optimization is a plus.
• Experience mentoring engineers and contributing to technical direction is a plus.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Responsabilidades

• Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior MLOps Engineer.
• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Conocimientos

MLOps

Python

SQL

Cloud platforms

English (Advanced)

Educación

Bachelor's degree

Herramientas

Vertex AI

MLflow

Kubeflow

Descripción del empleo

FullStack invites experienced software professionals to join our talent network for flexible, project-based work as a Senior MLOps Engineer. You will collaborate with client teams, contributing to production ML systems and scalable data pipelines.

The role requires 5+ years in software engineering and MLOps, with advanced English and a four-year degree. You will work remotely, liaising with US-based clients and teams, delivering high-quality ML solutions and continuously improving deployment