Hi,

Hope you doing well.

Please do kindly find the job description below. Please do respond me back with your updated resume.

Senior Platform Engineer – MLOps / Databricks

Location: Anywhere in LATAM - Remote

Please find JD for Senior Platform Engineer – MLOps / Databricks. Need Databricks expertise with experience in node/python for backend and experience in building APIs. Experience in AI/ML is mandatory.

Key Responsibilities
- Design, implement, and maintain cloud-native platforms supporting AI and data workloads, with a focus on Databricks and AWS.
- Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics.
- Develop Infrastructure-as-Code (IaC) solutions using CloudFormation and AWS CDK to ensure repeatable and secure deployments.
- Collaborate with AI engineers, data engineers, and platform teams to improve performance, reliability, and cost efficiency of AI models in production.
- Drive observability best practices, including monitoring, alerting, and logging across AI platforms.




- Contribute to the design and evolution of AI platforms that support new ML frameworks, workflows, and data types.
- Stay current with emerging tools and technologies and recommend improvements to platform architecture and operations.
- Integrate AI models and Large Language Models (LLMs) into production systems, including Retrieval-Augmented Generation (RAG) architectures.

Minimum Qualifications
- 7+ years of professional experience in software engineering and infrastructure engineering.
- Extensive experience building and maintaining AI/ML infrastructure in production environments, including model deployment and lifecycle management.
- Strong knowledge of AWS and Infrastructure-as-Code frameworks, ideally AWS CDK.
- Expert-level coding skills in
Node.js and Python
, with experience developing APIs and backend services.
- Proven experience with MLflow, including model registration, versioning, asset bundles, and model-serving workflo

📌 Senior Platform Engineer MLOps (México)
🏢 EROS Technologies
📍 México