MLOps Engineer – GenAI Platform, AWS

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Avenga

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

💰 Private equity on 2017-02

Consulting • Manufacturing • Healthcare

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Build and maintain secure, scalable AWS infrastructure supporting a production agentic AI platform • Provision and manage cloud infrastructure using infrastructure-as-code practices, preferably with Terraform • Containerise and deploy AI platform components and supporting services in AWS, including ECS • Configure IAM, secrets management, encryption and other security controls for a regulated environment • Implement monitoring, logging, security scanning and performance controls across the platform • Develop Python services and REST APIs exposing data and business capabilities to AI-driven workflows • Contribute to retrieval-augmented generation solutions • Support LLM orchestration and integration of AI agents with external services and business processes • Evaluate and improve retrieval quality, response accuracy and overall system reliability • Develop and maintain automated unit and integration tests using pytest • Participate in technical design discussions, pull-request reviews and GitHub-based team workflows • Take end-to-end ownership of production-ready, secure and maintainable components

🎯 Requirements

• Hands-on experience building and operating production AI/ML or GenAI platforms in AWS • Strong practical knowledge of AWS infrastructure, preferably including ECS, IAM and Secrets Manager • Experience provisioning and managing cloud infrastructure as code, preferably using Terraform • Proficiency in containerisation using Docker and understanding of production container deployment practices • Experience setting up cloud security, access controls, secrets management and encryption • Knowledge of monitoring, logging and operational controls for production systems • Ability to build and expose data and application capabilities through REST APIs • Practical Python experience and ability to independently develop production-quality services and automation • Experience writing automated unit and integration tests using pytest, fixtures and mocking • Experience implementing security scanning and improving platform performance and reliability • Familiarity with GitHub-based development workflows, including feature branches, pull requests and code reviews • Clear communication, ownership of delivered solutions and proactive identification of technical risks and improvements • Nice-to-have: experience with production LLM systems, AI agents, agentic workflows, retrieval-augmented generation, LLM orchestration, tool calling, response evaluation, guardrails, regulated environments, telecommunications products or customer-service processes

🏖️ Benefits

• Equal opportunities in recruitment, career development, and leadership • Diverse and inclusive work environment • Fully remote work arrangement