Senior Platform Engineer/ Architect – 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

- 10
- 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 workflows.
- Hands-on experience with Databricks and modern data platform technologies.
- Experience with CI/CD pipelines, containerization, and cloud-native architectures.
- Strong understanding of MLOps best practices and AI platform engineering.

Preferred Skills

- Databricks
- MLflow
- Python
- Node.js
- AWS CDK
- CloudFormation
- MLOps
- LLMs & RAG
- CI/CD
- Docker
- Kubernetes

Thanks & Regards

Nitin Kushwaha

Lead Technical Recruiter

Eros Technologies Inc

Email: [email protected]

📌 Platform Engineer Architect MLOps Databricks - Location: LATAM (Argentina)
🏢 EROS Technologies
📍 Argentina