AI / MLOps Engineer
Atos is hiring an AI / MLOps Engineer. Level rates it ; you can apply on Atos.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
- Level classifies it as a mid-level role.
- Level lists 609 other open roles at Atos.
AI in this role
Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
About Atos Group
Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
Build, automte and scale enterprise AI solutions.
We are looking for an experienced AI / MLOps Engineer to help design, deploy and operate production-grade AI platforms and machine learning solutions.
If you are passionate about Machine Learning, Cloud technologies, automation and modern AI operations, we'd love to hear from you.
Key Responsibilities
- Design and implement scalable ML pipelines for training, deployment and monitoring
- Automate data ingestion, preprocessing and feature engineering workflows
- Integrate AI/ML models into enterprise applications and APIs
- Develop and maintain CI/CD pipelines for Machine Learning systems
- Monitor model performance, detect drift and automate retraining processes
- Deploy AI workloads using Docker and Kubernetes
- Ensure security, compliance and operational excellence across AI services
- Collaborate closely with Data Scientists, DevOps Engineers and Software Developers
Required Skills
- 3+ years of experience in AI/ML Engineering, MLOps or related roles
- Strong Python programming skills
- Experience deploying ML models into production environments
- Hands-on experience with Azure, AWS or GCP
- Knowledge of Docker, Kubernetes and CI/CD practices
- Experience with monitoring and observability tools
Technologies We Use
Python, TensorFlow, PyTorch, Scikit-Learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure, AWS, GCP, Spark, Kafka, Terraform, Prometheus, Grafana
Nice to Have
- Experience with GenAI, LLMs or Agentic AI
- AI/Cloud certifications
- Experience working in large-scale enterprise environments
Why Join Us?
✅ Work with cutting-edge AI technologies
✅ Build solutions used in real production environments
✅ Collaborate with international technology experts
✅ Access learning, certification and professional development opportunities
Please note: Due to project requirements, applicants must hold citizenship of an EU Member State.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.
How we rate this
AI / MLOps Engineer at Atos rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- What's a project where you used scikit-learn hands-on?
- Walk me through how you've used MLflow in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, PyTorch, TensorFlow, scikit-learn, and MLflow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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