Requirements:
6+ years of experience in MLOps, infrastructure development, or a similar field.
Proven experience in developing and deploying both classical ML models and LLM agents in production environments.
Strong proficiency in Python and Bash scripting.
Extensive experience with ML model deployment tools such as MLflow, Weights Biases / Vertex / SageMaker and DVC.
Deep expertise in cloud platforms (AWS, GCP, Azure), Infrastructure as Code (IaC) tools (Terraform, CloudFormation), CI/CD, containerization (Docker, Kubernetes), and monitoring/observability tools like Grafana.
Strong understanding of LLM agent operations, including context management, tool integration, and prompt engineering.
Excellent problem-solving and debugging skills.
Strong communication and collaboration skills.
Experience leading or mentoring a team is highly desirable
Skills

Requirements:
- Bachelors degree in Computer Science, IT, or equivalent experience
- Proven experience in DevOps or system Engineering roles
- Proficiency in Linux system administration
- Experience with virtualization platforms (Proxmox, VMware, KVM)
- Strong scripting skills ( Python, Bash, etc.)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Knowledge of CI/CD tools (Jenkins, GitLab CI, etc.)
- Experience with networking and Storage (SAN/NAS, Fibre Channel, Mellanox switches)
- Experience working with cloud platforms (AWS, Azure, GCP)

Preferred Qualifications:
- Experience with automation tools (Ansible, Terraform)
- Familiarity with monitoring tools (Prometheus, Grafana, Zabbix)
- Version control experience (Git)
- Cloud certifications (AWS, Azure, etc.) are a plus

Requirements:
Requirements:
At least 2 years of SysAdmin experience
Experience in both Windows and Linux environments.
Experience with Networks  
Working knowledge of databases and SQL
Experience with Bash/ PowerShell
Experience with virtualization (Proxmox/ VMware )
High technical skills and creative thinker 
Advantage:
One year Experience as DevOps Engineer
Experience with Containers - Docker/ Kubernetes
Experience with CI/CD
Experience with cloud
Experience with Information security products (WAF,FW)
  Experience with Elastic Search