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MLOps Engineer – GenAI Platform (AWS)
Summary by AIEngineer.careers
MLOps Engineer – GenAI Platform (AWS) is a MLOps Engineer role (contract). with Avenga. in REMOTE, WORLDWIDE. Imported listing (source: career.avenga.com). Apply on the employer's site (career.avenga.com).
Imported listing (source: career.avenga.com) · Apply on career.avenga.com
REMOTE · WORLDWIDE
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Contract
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from career.avenga.com
Avenga is seeking an MLOps Engineer to build and maintain secure, scalable AWS infrastructure for a production agentic AI platform serving a major telecommunications operator. You will provision cloud resources using Terraform, containerize services with Docker, and implement robust security, monitoring, and testing pipelines. The role focuses on enabling LLM orchestration, retrieval-augmented generation (RAG), and AI agent integrations while ensuring high reliability in a regulated environment.
Responsibilities
- Build and maintain secure, scalable AWS infrastructure for production AI platforms
- Provision cloud resources using Infrastructure-as-Code (Terraform)
- Containerize and deploy AI components using Docker and ECS
- Implement security controls, secrets management, encryption, and monitoring
- Develop Python services and REST APIs for AI-driven workflows
- Support LLM orchestration, RAG solutions, and AI agent integrations
- Write automated unit and integration tests using pytest
Requirements
- Hands-on experience building and operating production AI/ML or GenAI platforms in AWS
- Strong knowledge of AWS infrastructure (ECS, IAM, Secrets Manager)
- Experience provisioning cloud infrastructure as code (Terraform preferred)
Avenga
Praha · CZ · 2818+ employees
Avenga is an international IT services and consulting firm specializing in AI-native engineering, custom software development, and digital transformation. It supports industries including banking, life sciences, and manufacturing.
