Senior Manager - Artificial Intelligence
Accelya (company site, opens in a new tab)6–10 yrsPuneOn-siteDirect career pageEst. 30–45 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage the AI/ML engineering team to develop and deploy production AI/machine learning systems at scale within the airline domain.
- Define and enforce AI/ML engineering standards, MLOps practices, model governance frameworks, and drive responsible AI including bias monitoring, explainability, and transparency.
- Collaborate with product, engineering, and data leadership to shape AI product strategy and report AI engineering performance and strategic initiatives to CTO and CPO.
Minimum Requirements
- 6–10 years of AI/ML experience, with at least 3 years managing ML engineering teams.
- Bachelor's degree in Computer Science or related field; Master's or PhD preferred.
- Proven experience delivering production AI/ML systems at scale and strong expertise in ML engineering, LLMs, and responsible AI governance.
- Not explicitly mentioned: Notice period requirements or strict location constraints.
Ideal Candidate Profile
- Experience leading AI/ML engineering teams focused on enterprise or airline-specific AI applications, with a deep understanding of airline technology and AI competitive landscape.
- Strong capabilities in bridging AI engineering and product strategy, demonstrating measurable product AI value and enforcing responsible AI practices.
- Familiarity with latest AI trends including Large Language Models and agentic AI shaping airline software products.