AI / MLOps Engineer

Atos; Województwo kujawsko-pomorskie; On-site; PLN 180,000 - 240,000; Full time

Job summary

Atos is seeking an experienced AI/ML Engineer to design, deploy and operate production-grade AI platforms. You will build scalable ML pipelines for training, deployment and monitoring, and integrate AI models into enterprise applications. The role requires hands-on cloud experience and strong Python skills.

Join a global leader in digital transformation and collaborate with Data Scientists, DevOps and Software Engineers to deliver secure, observability-driven AI solutions at scale.

Qualifications

• 3+ years of AI/ML Engineering or MLOps experience.
• Strong Python programming skills.
• Experience deploying ML models to production.
• Hands-on with Azure/AWS/GCP.

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 ML systems.
• Monitor model performance and automate retraining processes.
• Deploy AI workloads using Docker and Kubernetes.
• Ensure security, compliance and operational excellence.
• Collaborate with Data Scientists, DevOps and Software Engineers.

Skills

AI/ML Engineering

Python programming

Model deployment

Cloud platforms (Azure, AWS, GCP)

Docker & Kubernetes

CI/CD practices

Monitoring/Observability

Tools

Docker

Kubernetes

CI/CD tooling

Job description

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.