Posted 12 June, 2026
Devops+ Python with AI/ML
NR Consulting - India
Hyderabad, Karnataka, IN
Full Time
Reference: 26-02527-2220-1
Title: Devops+ Python with AI/ML
Location: Hyderabad
Exp: 6 to 8 Years
Job Description:
Key Responsibilities:
• Build and maintain CI/CD pipelines for application and ML model deployment.
• Automate infrastructure and workflows using Python scripts.
• Manage cloud infrastructure (AWS/Azure/GCP) and container platforms like Docker and Kubernetes.
• Support deployment and monitoring of AI/ML models in production.
• Collaborate with development and data science teams for efficient delivery.
• Implement monitoring, logging, and performance optimization.
Required Skills:
• Experience in DevOps tools (Git, Jenkins, GitHub Actions, Terraform, etc.)
• Strong scripting in Python
• Knowledge of Docker, Kubernetes, CI/CD pipelines
• Basic understanding of AI/ML concepts and model deployment
• Familiarity with Linux systems and cloud platforms
• Understanding of monitoring tools (Prometheus, Grafana, etc.)
Preferred Qualifications:
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Knowledge of MLOps practices
• Experience with data pipelines or workflow tools (Airflow, MLflow)
Location: Hyderabad
Exp: 6 to 8 Years
Job Description:
Key Responsibilities:
• Build and maintain CI/CD pipelines for application and ML model deployment.
• Automate infrastructure and workflows using Python scripts.
• Manage cloud infrastructure (AWS/Azure/GCP) and container platforms like Docker and Kubernetes.
• Support deployment and monitoring of AI/ML models in production.
• Collaborate with development and data science teams for efficient delivery.
• Implement monitoring, logging, and performance optimization.
Required Skills:
• Experience in DevOps tools (Git, Jenkins, GitHub Actions, Terraform, etc.)
• Strong scripting in Python
• Knowledge of Docker, Kubernetes, CI/CD pipelines
• Basic understanding of AI/ML concepts and model deployment
• Familiarity with Linux systems and cloud platforms
• Understanding of monitoring tools (Prometheus, Grafana, etc.)
Preferred Qualifications:
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Knowledge of MLOps practices
• Experience with data pipelines or workflow tools (Airflow, MLflow)
