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Director of AI Infrastructure

2 weeks ago

Udaipur, Rajasthan, India beBeeAIengineer Full time ₹ 2,50,00,000 - ₹ 3,00,00,000

Head of AI Engineering - Join our mission to make AI work responsibly.

This role is a unique opportunity for a seasoned engineer to lead the way in creating cutting-edge AI safety services and platforms. As a key member of our team, you will be responsible for developing and implementing strategies that ensure the safe and reliable deployment of AI technology.

The ideal candidate will have a strong background in software engineering, including experience in leadership roles and a proven track record of delivering successful projects. They will also possess excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Key Responsibilities:

  • Team Leadership: Lead and mentor a high-performing team of engineers, providing guidance and support to help them achieve their goals.
  • Strategy Development: Collaborate with stakeholders to develop and implement strategies that align with business objectives and ensure the safe and reliable deployment of AI technology.
  • Platform Development: Oversee the creation of tools and platforms that enable the development and deployment of AI applications, ensuring they meet the highest standards of quality and security.
  • Engineering Excellence: Implement and enforce best practices in secure coding, automation, monitoring, and infrastructure-as-code, maintaining high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.

Qualifications & Experience:

  • Must-Have: 5+ years in software engineering, including 2+ years in a leadership role; Proven experience delivering AI/ML or data-intensive platforms; Strong background in coaching and talent development; Excellent communication and cross-functional collaboration skills.
  • Technical Proficiency: Languages/Frameworks: Python, TensorFlow, PyTorch, JavaScript, HTML/CSS; Tools: Docker, Kubernetes, REST APIs, SQL/NoSQL databases; Cloud Platforms: AWS, GCP, or Azure; Understanding of LLMs, prompt engineering, and adversarial testing.