> Markdown version of [/jobs/ext/2679967-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2679967-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ENGINEER - **Company:** Atos SE - **Location:** Alpharetta, GA, United States - **Salary:** $100,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Transformation, Database Queries, Python (Programming Language), Machine Learning, Standard Sql, Workflow Management Systems, Data Processing, Google Cloud, Delivery Pipeline, Containerization, Machine Learning Operations, Docker - **Published:** September 2, 2026 - **Apply:** https://jobs.atos.net/talentcommunity/apply/1433126633/?locale=en_US ## About the Role * Strong experience in MLOps practices and machine learning lifecycle management * Proficiency in Python for data processing, automation, and ML workflows * Strong knowledge of SQL and database querying * Hands-on experience with Google Cloud Platform (GCP) * Experience with Cloud Composer (Apache Airflow on GCP) for workflow orchestration * Expertise in Apache Airflow for scheduling and managing data and ML pipelines * Experience with Dataform for data transformation and analytics engineering * Understanding of workflow orchestration, pipeline automation, and monitoring * Experience with CI/CD pipelines and ML model deployment (preferred) * Knowledge of containerization technologies such as Docker and Kubernetes (preferred) ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)