AI / MLOps Engineer

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.