Cloud engineer for MLOps

We are seeking a talented Cloud Engineer to join our growing team and play a crucial role in productionizing machine learning solutions for our clients. As a Cloud Engineer at HCON, you will be responsible for designing, implementing, and maintaining scalable cloud infrastructures that support robust MLOps pipelines.

• designing, implementing, and maintaining scalable cloud infrastructures that support robust MLOps pipelines
• building and optimizing cloud-native architectures using modern DevOps practices, container orchestration, and infrastructure-as-code principles
• You'll collaborate closely with our data scientists and MLOps specialists to create seamless deployment workflows that bridge the gap between model development and production deployment.

• Strong experience with major cloud platforms (AWS, Azure, or GCP)
• Proficiency in Infrastructure-as-Code tools (Terraform, CloudFormation, or Pulumi)
• Hands-on experience with container technologies (Docker, Kubernetes)
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with monitoring and logging solutions (Prometheus, Grafana, ELK stack)
• Scripting skills in Python, Bash, or similar languages
• Strong problem-solving abilities and analytical thinking
• Excellent communication skills in English
• Collaborative mindset and ability to work in cross-functional teams
• Passion for learning new technologies and staying current with industry trends
• Будет плюсом: Experience with MLOps tools and workflows (MLflow, Kubeflow, or similar); Knowledge of data pipeline orchestration tools (Airflow, Prefect); Understanding of machine learning model deployment patterns; Experience with service mesh technologies (Istio, Linkerd); Familiarity with security best practices in cloud environments; German is a plus

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