AI DevOps Team Lead
Job Description
We are seeking a highly skilled and experienced AI DevOps Team Lead with a strong background in Python, Docker, Kubernetes, and API standardization. The ideal candidate will have experience deploying code into production environments and a deep understanding of AI development processes. As a Team Lead, you will guide the DevOps team in implementing and maintaining robust, scalable, and efficient AI systems, ensuring smooth production deployment and operations.
Key Responsibilities:
- Lead the AI DevOps team in designing, developing, and maintaining scalable, reliable infrastructure.
- Oversee the deployment of AI models and applications using Docker, Kubernetes, and other containerization technologies.
- Implement and standardize APIs, ensuring efficient integration and communication between AI systems and services.
- Collaborate with software engineers, data scientists, and AI developers to optimize the deployment process.
- Contribute to and leverage open-source platforms, understanding the importance of open-source in the AI and DevOps ecosystem.
- Automate processes for continuous integration, continuous delivery (CI/CD), and monitoring for AI pipelines.
- Lead the implementation of best practices in security, compliance, and system monitoring for AI workloads.
- Ensure proper use of cloud environments and tools for production-level AI deployment.
- Mentor junior DevOps engineers and ensure the team is up-to-date with the latest industry trends and tools in AI DevOps.
Required Qualifications:
- Proven experience in Python development, with a strong understanding of Python-based AI frameworks.
- Extensive hands-on experience with Docker, Kubernetes, and container orchestration in production environments.
- In-depth knowledge of API development, standardization, and integration.
- Experience deploying AI models and applications into production environments.
- Familiarity with open-source platforms and a strong understanding of the open-source community.
- Ability to automate deployment processes using CI/CD pipelines and associated tools.
- Strong problem-solving skills with the ability to debug, troubleshoot, and optimize AI deployments.
- Solid understanding of cloud infrastructure and cloud-native tools (e.g., AWS, Azure, GCP) for AI systems.
- Excellent communication and leadership skills, with the ability to mentor and guide team members.
Preferred Qualifications:
- Experience contributing to or managing open-source projects.
- Knowledge of modern AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Prior experience in a team lead or management role within a DevOps or AI team.
- Familiarity with monitoring and security best practices for AI workloads.
- Provident Fund
- Gym Membership
- Leaves as per the company policy.
- Company-paid trips
- Easy Loan Facility for Employees
- Yearly increment
- Health Insurance (includes spouse and parents) (till the age of 80)
Date Posted
09/05/2024
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