Senior AI DevOps Engineer
Ericsson (company site, opens in a new tab)5–8 yrsKolkataOn-siteDirect career pageEst. 18–32 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, integrate, and deploy AI/ML and Generative AI applications using Python, PyTorch/TensorFlow, and frameworks for enterprise use cases.
- Build and maintain automated CI/CD pipelines, infrastructure automation, and cloud-native deployments on AWS, Azure, or GCP with Docker and Kubernetes.
- Apply security controls, monitoring, and performance improvements for AI applications in production environments while collaborating with multiple teams to resolve technical challenges.
Minimum Requirements
- 5 to 8 years of experience in AI/ML engineering, DevOps, cloud engineering, or automation.
- Proficient in Python, Generative AI, large language models, prompt design, with experience using PyTorch or TensorFlow.
- Hands-on skills with Git, Ansible, CI/CD, scripting (Python and Bash), Docker, Kubernetes, and at least one major cloud platform (AWS, Azure, or Google Cloud).
- Bachelor’s or master’s degree in computer science, engineering, or related technical discipline.
Ideal Candidate Profile
- Experienced operating in complex enterprise environments with knowledge of telecommunication and networking is advantageous.
- Able to handle end-to-end AI solution deployment including secure access, secrets management, and responsible AI practices with human review mechanisms.
- Comfortable working across AI application development, infrastructure automation, and production support in Linux environments (Ubuntu/Red Hat).