Primary Skills:
- Python Development : Proficiency in Python for developing scripts, automation, and integration tasks.
- APIs : Strong experience in developing, consuming, and integrating RESTful APIs.
- Notebooks : Expertise in using Jupyter Notebooks for data analysis and prototyping AI models.
- Logs : Ability to manage and analyze logs for debugging and monitoring purposes.
- Version Control : Proficiency with Git and GitHub for code versioning and collaboration.
- Project Management Tools : Familiarity with Jira for tracking issues, tasks, and project workflows.
- Cloud Platforms : Knowledge of cloud services (Azure)
- Self-Healing Systems : Understanding of self-healing mechanisms and automation in IT infrastructure.
- Experience in developing and integrating Agentic AI solutions.
Nice to Have Skills:
- Containerization : Familiarity with Docker and Kubernetes for container orchestration.
- Data Engineering : Experience with ETL processes, data pipelines, and data warehousing.
- DevOps : Knowledge of CI/CD pipelines and practices.
- Security : Understanding of security best practices in AI and API integrations.
- NLP : Experience with Natural Language Processing techniques and tools.
Experience Required:
- Intermediate Level : 5+ years of relevant experience in Python development and AI integrations.
- Experience in integrating AI solutions with monitoring and alerting systems.
- Experience with API development and integration.
- Demonstrated ability to work with version control systems like Git and platforms such as GitHub
- Experience in working with logs, debugging, and troubleshooting.
- Exposure to cloud platforms and deploying AI solutions.
- Experience in a collaborative environment with cross-functional teams.
- Strong problem-solving skills and ability to work independently.
Core Responsibilities:
- Implement Self-Healing Mechanisms : Develop and implement self-healing mechanisms to automatically resolve identified issues.
- Collaborate with Cross-Functional Teams : Work closely with data engineers, DevOps, and other stakeholders to ensure seamless integration and operation of AI solutions.
- Debug and Troubleshoot Issues : Manage and analyze logs to debug and troubleshoot any issues that arise.
- Maintain and Update Documentation : Create and maintain comprehensive documentation for developed solutions and integration processes.
- Ensure Code Quality and Version Control : Maintain high code quality standards and manage code versioning using Git and GitHub.
- Stay Updated with AI Trends : Keep abreast of the latest developments in AI, machine learning, and related technologies to continuously improve the solutions.
Time Type:
Hyderabad, Andhra Pradesh, India
AT&T is a fair chance employer and does not initiate a background check until an offer is made.
04/11/2025