Docker and Kubernetes

Python programming

CI/CD tools (Jenkins, GitLab CI, GitHub Actions, or similar)

Cloud platforms (AWS, GCP, Azure)

Infrastructure-as-Code (Terraform, CloudFormation, Ansible)

ML frameworks (TensorFlow, PyTorch, scikit-learn)

Data pipeline orchestration (Apache Airflow, Kubeflow)

Model serving and deployment (TensorFlow Serving, TorchServe, FastAPI)

Monitoring and logging (Prometheus, Grafana, ELK, CloudWatch)

Git and version control

SQL and database management

Linux/Unix system administration

Strong problem-solving and analytical abilities

Excellent communication and collaboration skills

Ability to work effectively in cross-functional teams with data scientists and engineers

Self-motivated with strong ownership mentality

Attention to detail and commitment to code quality

Adaptability and willingness to learn new technologies

Project management and prioritization skills

Documentation and knowledge-sharing abilities

Proactive approach to identifying and resolving issues

Mentoring capability for junior team members