AI/ML Engineer - Senior Manager

Job Description

Key Responsibilities

• Lead and manage QA & support teams to ensure timely resolution of infrastructure issues and high-quality software delivery.
• Oversee day-to-day operations, including incident management, root cause analysis, and execution of test plans and scripts.
• Implement and optimize ITIL best practices for incident, problem, and change management.
• Design, develop, and maintain automation scripts and test cases using Python to support both infrastructure and QA needs.
• Utilize SQL for data validation, test data creation, and troubleshooting across systems.
• Leverage Large Language Models (LLMs) and AI tools to automate support processes and facilitate knowledge base creation.
• Collaborate with cross-functional teams to drive process improvements and establish QA best practices within support operations.
• Analyze requirements and ensure comprehensive test coverage while maintaining optimal system performance.
• Communicate effectively with stakeholders, providing status updates and reporting on incident and QA metrics.
• Provide regular updates and reporting on incident resolution, QA metrics, and process improvements to stakeholders.
• Mentor junior team members, fostering a culture of excellence, learning, and knowledge sharing.
• Drive initiatives for process automation, knowledge base creation, and continuous improvement for both support and QA functions.
• Qualifications & Skills: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 8–12 years of experience in infrastructure support and QA testing roles.
• Proficient in Python scripting for automation and process optimization.
• Strong SQL skills for test data management and issue analysis.
• Demonstrated experience in both functional and automation QA testing.
• Proven leadership in managerial roles, with a track record of leading teams and delivering results.
• In-depth knowledge of ITIL processes and best practices.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication and interpersonal abilities

Preferred Qualifications

• Certifications such as ITIL, ISTQB, or relevant technical certifications.
• Experience with CI/CD pipelines and automation frameworks (e.g., Selenium, PyTest).
• Exposure to cloud infrastructure (AWS, Azure) and DevOps practices.
• Familiarity with AI/ML frameworks and APIs, and experience in leveraging AI for operational efficiency.
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• vibrant employee networks that keep you connected to what matters most.
• Join us in shaping the future.
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• other characteristics protected by applicable law.
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