摘要
the strategic goals of the company, enhancing the capabilities in data-driven decision-making
and is crucial in defining and promoting best practices in AI model development and
deployment.
AI Engineer through their forward-thinking ensure seamless integration of innovative AI
solutions into existing frameworks, ensuring they are scalable, reliable, and tailored to meet the
unique demands of the pharmaceutical industry. The AI Engineer will con-tribute to our mission
of advancing healthcare through technology, ultimately improving patient outcomes and driving
business success
About the Role
Key Responsibilities:
• Understand complex and critical business problems, formulates integrated analytical
approach to mine data sources, employ statistical methods and machine learning
algorithms to contribute to solving unmet medical needs, discover actionable insights,
and automate processes for reducing effort and time for repeated use.
• Architect and develop end-to-end AI/ML and Gen AI solutions, focusing on scalability,
performance, and modularity while ensuring alignment and best practices with
enterprise architecture standards.
• Manage the implementation and adherence to the overall data lifecycle of enterprise
data from data acquisition or creation through enrichment, consumption, retention, and
retirement, enabling the availability of useful, clean, and accurate data throughout its
useful lifecycle.
• High agility to be able to work across various business domains. High agility to be able to
work across various business domains. Integrate business presentations, smart
visualization tools and contextual storytelling to translate findings back to business
users with a clear impact.
• Independently manage budget, ensuring appropriate staffing and coordinating projects
within the area.
• Collaborate with globally dispersed internal stakeholders and cross-functional teams to
solve critical business problems and deliver successfully on high visibility strategic
initiatives.
Essential Requirements
• Advanced degree in Computer Science, Engineering, or a related field (PhD preferred).
Experience
• 5+ years of experience in AI/ML engineering (data engineering could be appropriate
depending on experience), with at least 2 years focusing on designing and deploying
LLM-based solutions.
• Strong proficiency in building AI/ML architectures and deploying models at scale with
experience in cloud computing platforms such as AWS, Google Cloud, or Azure.
• Deep knowledge of LLMs and experience in applying them in business contexts.
• Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pipelines
Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for
scalable deployment.
• Experience with API development, integration, and model deployment pipelines.
• Strong problem-solving skills and a proactive, hands-on approach to challenges.
• Ability to work effectively in cross-functional teams and communicate technical
concepts clearly.
• Excellent organizational skills and attention to detail in managing complex systems.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? http://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: http://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: http://www.novartis.com/careers/benefits-rewards
Accessibility and accommodation
Novartis is committed to work with and provide reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
