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DevOps & AI Engineer
Job Overview
We are looking for a skilled DevOps & AI Engineer who can bridge the gap between development, operations, and artificial intelligence systems. The ideal candidate will design, deploy, automate, and manage AI-powered applications using modern DevOps practices.
You will work closely with development, data science, and IT teams to ensure smooth CI/CD pipelines, scalable infrastructure, and optimized AI model deployment.
Key Responsibilities
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Design and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab
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Deploy and manage AI/ML models in production environments
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Automate infrastructure using Terraform or Ansible
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Work with containerization tools like Docker and orchestration platforms such as Kubernetes
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Monitor systems using tools like Prometheus and Grafana
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Optimize cloud infrastructure on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
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Ensure system security, scalability, and high availability
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Collaborate with AI teams for model versioning, testing, and deployment
Required Skills
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Strong knowledge of DevOps methodologies and CI/CD practices
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Experience with cloud platforms (AWS, Azure, or GCP)
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Hands-on experience in AI/ML model deployment
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Knowledge of Python, Shell scripting, or similar languages
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Experience with version control systems like Git
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Understanding of MLOps concepts
Preferred Qualifications
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Bachelor’s degree in Computer Science, IT, or related field
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Experience with AI frameworks like TensorFlow or PyTorch
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Knowledge of microservices architecture
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Strong problem-solving and communication skills
Why Join Us?
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Work on cutting-edge AI and cloud technologies
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Career growth opportunities
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Collaborative and innovative work environment
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Competitive salary package
Job Features
| Job Category | DevOps |



