Databricks MLOps Engineer

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. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise‑scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector‑specific knowledge to address complex business challenges quickly and effectively.

We are looking for 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 the pipelines, deployment workflows, and observability layers that make machine learning models reliable, cost‑efficient, and production‑ready.

This is a hands‑on engineering role. You'll be writing infrastructure‑as‑code, building data pipelines, integrating LLMs into production systems, and collaborating closely with AI and data engineers to keep the platform performing as the workloads grow.

What You’ll Do

• 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.

Basic Qualifications

• 7+ years of professional experience in software and infrastructure engineering.
• Extensive experience building and maintaining AI/ML infrastructure in production — model deployment, lifecycle management, and serving workflows.
• Production‑level experience with Databricks and MLflow — model registration, versioning, asset bundles, 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.

Preferred Qualifications

• Familiarity with DSPy or similar LLM orchestration frameworks for programmatic prompt pipelines.
• Experience with LLM cost monitoring, latency optimization, and usage analytics in production.
• Knowledge of vector databases and embedding stores — OpenSearch or similar — to support semantic search and RAG architectures.
• Experience with ECS or other container orchestration tools.

When you join Solvd, you’ll…

• Shape real‑world AI‑driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Solvd is an equal opportunity employer.