Associate Director

Associate Director - AI / ML Engineering

What you will do

Let’s do this. Let’s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India’s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI

The key aspects of this role involve :

1) prior hands-on experience building ML and AI solutions

2) management experience in leading ML / AI engineering team and talent development

3) Delivering AI initiatives at enterprise scale

Roles & Responsibilities :

• Talent Growth & People Leadership : Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.
• Recruitment & Team Expansion : Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
• Organizational Leadership : Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions
• Create and implement a strategy for expanding the AI / ML engineering team, including recruitment, onboarding, and talent development.
• Oversee the end-to-end lifecycle of AI / ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery.
• Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring.
• Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI / ML solutions that drive business value.
• Serve as an AI / ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI / ML technologies.
• Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies.
• Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI / ML systems.
• Work closely with collaborators to prioritize AI / ML projects and ensure timely delivery of key initiatives.
• Lead innovation initiatives to explore new AI / ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications :

Preferred Qualifications :

Good-to-Have Skills :

Professional Certifications (Preferred) :

Soft Skills :