Expert in AI/ NLP/ ML

Confidential

Remote job permanent

Posted: March 9, 2026

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Quick Summary

Design, implement, and maintain a scalable, reliable, and secure hybrid cloud ML Ops infrastructure, collaborate with data scientists and back-end developers, and analyze performance.

Required Skills

Cloud Kubernetes Docker Python AWS Azure MLflow TensorFlow Airflow Kafka Redis Jira

Job Description

The external service provider will be responsible for the following tasks:

• Design, implement, and maintain a scalable, reliable, and secure hybrid cloud ML Ops infrastructure for deploying, testing, managing, and monitoring ML models in various environments.

• Develop and maintain software applications in the areas of Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), and/or Artificial Intelligence (AI).

• Collaborate closely with data scientists and back-end developers to construct, test, integrate, and deploy ML models.

• Analyze performance metrics, troubleshoot issues, and ensure high availability and reliability.

• Design CI/CD pipelines, utilize orchestration solutions, and data versioning tools.

• Create automated anomaly detection systems, continuously monitor performance, and optimize ML pipelines for scalability, efficiency, and cost-effectiveness.

• Architect IT solutions in the NLP/ML/AI domains, considering master- and meta-data management concepts, and coordinate their implementation.

• Provide security studies, security assessments, and guidance on information system projects.

• Offer support and guidance to other team members on MLOps practices.

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