AIOPS Engineer Python Azure

Job Description

• Collaborate with cross functional teams to design develop and deploy AIdriven applications and services
• Utilize Python programming to implement scalable AI models and automation workflows
• Leverage Azure Cognitive Services to build intelligent applications incorporating vision speech language and decision capabilities
• Apply GenAI techniques and LLMOps best practices to manage and optimize large language models for enterprise applications
• Work within the AIOPS AI Engineering cluster to enhance AI operational efficiency and reliability
• Continuously research and integrate emerging AI technologies to maintain competitive advantage
• Participate in agile development processes to ensure timely delivery of AI solutions
• Support cloud infrastructure and AI model lifecycle management to ensure robust performance and scalability

• Develop and maintain AI models using Python and Azure Cognitive Services
• Implement and manage GenAI workflows focusing on LLMOps to optimize language model deployment and monitoring
• Collaborate with stakeholders to gather requirements and translate them into technical solutions
• Ensure seamless integration of AI services with existing enterprise systems and cloud infrastructure
• Monitor AI model performance troubleshoot issues and implement improvements
• Document AI solutions processes and best practices for knowledge sharing
• Mentor junior team members and contribute to skill development within the AI Engineering team
• Adhere to security and compliance standards while deploying AI applications in overseas environments

Mandatory

Skills:

Azure Cognitive Services, GenAI - LLMOps, LLMOps, Python