AIOPS Engineer with Python Azure

TESTQ Technologies Limited; Sheffield; On-site; GBP 110,700 - 166,050; Full time

Job summary

TESTQ Technologies Limited is seeking an AIOPS Engineer with Python and Azure expertise to design, develop, and deploy AI-powered applications and services. You will leverage Azure Cognitive Services to build intelligent solutions and apply GenAI and LLMOps practices to manage large language models for enterprise use.

You will work within an AI Engineering cluster to enhance operational efficiency, reliability, and scalability while collaborating with cross-functional teams to deliver AI-driven

Qualifications

• Experience building AI models and services using Python and Azure Cognitive Services.
• Hands-on experience with GenAI workflows, LLMOps, and language model deployment.
• Familiarity with cloud infrastructure and AI model lifecycle management.

Responsibilities

• Develop and maintain AI models using Python and Azure Cognitive Services, focusing on GenAI workflows and LLMOps to optimize deployment and monitoring.
• Collaborate with stakeholders to translate requirements into scalable technical solutions.
• Ensure integration of AI services with enterprise systems and cloud infrastructure; monitor performance and troubleshoot issues.
• Mentor junior team members and contribute to team skill development while adhering to security and compliance standards.
• Support overseas deployment environments and align with governance requirements.

Skills

Azure Cognitive Services

GenAI - LLMOps

Python

Job description

TQUSI0838_5778 - AIOPS Engineer with Python Azure

Job Type: Contract

Work Mode: Onsite (Client)

Job Description

• Collaborate with crossfunctional teams to design, develop and deploy AI-driven 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 AIOPSAI 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

Roles and Responsibilities

• 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