AI / MLOps Engineer (Bydgoszcz, PL)

Atos
Poland
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Automation","Operational excellence"]

Design, deploy, and operate production-grade AI platforms and machine learning solutions. Build scalable ML pipelines for training, deployment, and monitoring, automating data ingestion, preprocessing, and feature engineering. Integrate models into enterprise applications via APIs, develop CI/CD pipelines for ML systems, and manage model performance by detecting drift and automating retraining. Deploy workloads with Docker and Kubernetes while ensuring security, compliance, and operational excellence.

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FursaFursa
Atos
Atos
1 day ago

AI / MLOps Engineer (Bydgoszcz, PL)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design, deploy, and operate production-grade AI platforms and machine learning solutions. Build scalable ML pipelines for training, deployment, and monitoring, automating data ingestion, preprocessing, and feature engineering. Integrate models into enterprise applications via APIs, develop CI/CD pipelines for ML systems, and manage model performance by detecting drift and automating retraining. Deploy workloads with Docker and Kubernetes while ensuring security, compliance, and operational excellence.
Location: Poland
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

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, automate retraining, and deploy AI workloads using Docker and Kubernetes

Key Requirements

  • •3+ years of experience in AI/ML Engineering, MLOps, or related roles
  • •Strong Python programming skills for building AI/ML workflows
  • •Experience deploying ML models into production environments
  • •Hands-on experience with Azure, AWS, or GCP
  • •Knowledge of Docker, Kubernetes, and CI/CD practices for ML systems
Skills:CollaborationAutomationOperational excellence
Tech Stack:PythonTensorFlowPyTorchScikit-LearnMLflowKubeflowAirflowDockerKubernetesAzureAWSGCPSparkKafkaTerraformPrometheusGrafana

Eligibility

Nationality:EU National

Company Brief

Atos
Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bezons, France
Founded: 1997
WebsiteLinkedIn