Databricks MLOps Engineer - Build Scalable AI Platforms

Solvd, Inc.; Colombia; Presencial; COP 281.171.000 - 406.136.000; Jornada completa

Descripción de la vacante

Solvd, Inc. seeks a Databricks MLOps Engineer to design, build, and operate cloud-native infrastructure that powers AI and data workloads at scale.

You’ll work at the intersection of platform engineering and AI, building pipelines, deployment workflows, and observability layers that make models reliable and production-ready. This hands-on role requires strong coding in Python and TypeScript, Terraform/CloudFormation, and CI/CD experience, plus collaboration with AI and data engineers to improve

Formación

• 7+ years of professional experience in software and infrastructure engineering.
• Production‑level experience with Databricks and MLflow — model deployment, lifecycle management, and serving.
• Strong knowledge of AWS and infrastructure‑as‑code, with AWS CDK experience specifically.
• Expert‑level coding skills in both Python and TypeScript — building robust APIs and backend services.
• Strong understanding of containerization with Docker and hands‑on CI/CD pipeline experience.
• Proven ability to design reliable, secure, and scalable infrastructure for real‑time and batch ML workloads.
• Strong communication and collaboration skills — able to articulate technical decisions clearly to both engineering and non‑technical stakeholders.

Responsabilidades

• Design, implement, and maintain a cloud‑native platform to support AI and data workloads, with a focus on Databricks and AWS Bedrock.
• Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics use cases.
• Develop infrastructure‑as‑code using CloudFormation and AWS CDK to ensure repeatable, secure deployments.
• Integrate AI models and LLMs into production systems, including RAG architectures and model serving workflows.
• Drive observability best practices — monitoring, alerting, and logging across AI platforms.
• Collaborate with AI engineers, data engineers, and platform teams to improve performance, reliability, and cost‑efficiency of models in production.
• Contribute to the design and evolution of the AI platform to support new ML frameworks, workflows, and data types.
• Stay current with emerging tooling and recommend improvements to architecture and operations.

Conocimientos

Databricks

MLflow

AWS CDK

Python

TypeScript

CI/CD

Docker

APIs

Infra as Code

Communication

Herramientas

CloudFormation

AWS

Terraform

Descripción del empleo

Solvd, Inc. seeks a Databricks MLOps Engineer to design, build, and operate cloud-native infrastructure that powers AI and data workloads at scale.

You’ll work at the intersection of platform engineering and AI, building pipelines, deployment workflows, and observability layers that make models reliable and production-ready. This hands-on role requires strong coding in Python and TypeScript, Terraform/CloudFormation, and CI/CD experience, plus collaboration with AI and data engineers to improve