Python AI/ML Engineer

• Proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations.
• Solid knowledge of hybrid cloud technologies (AWS, GCP, OpenStack, Kubernetes).
• Experience with Python, Jupyter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, AppDynamics).
• Comfortable working with streaming data, APIs, and telemetry systems.
• Strong communication and multi-functional collaboration skills.
• Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
• Proficient in general-purpose programming languages (Python, GoLang, Bash and/or C/C++) and development platforms and technologies.

Preferred Qualifications

• Deep understanding of operating systems and experience with Cisco technologies (UCS, Nexus, Thousand Eyes)
• Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment.
• Hard-working, dedicated to providing quality support for your customers.
• Part time.