Job
Description
This position is pivotal in identifying and incubating cutting-edge AI technologies that align with 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. As an AI Engineer, you will ensure seamless integration of innovative AI solutions into existing frameworks, making sure they are scalable, reliable, and tailored to meet the unique demands of the pharmaceutical industry. Your contributions will be instrumental in advancing healthcare through technology, ultimately improving patient outcomes and driving business success. You will be responsible for understanding complex and critical business problems, formulating an integrated analytical approach to mine data sources, employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes for reducing effort and time for repeated use. Your role will involve architecting and developing 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. Additionally, you will manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its useful lifecycle. Your high agility will allow you to work across various business domains, integrating business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will also independently manage the budget, ensuring appropriate staffing and coordinating projects within the area while collaborating with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives. The ideal candidate for this role will have an advanced degree in Computer Science, Engineering, or a related field (PhD preferred) and at least 8 years of experience in AI/ML engineering, with a focus on designing and deploying LLM-based solutions for a minimum of 2 years. Strong proficiency in building AI/ML architectures and deploying models at scale, experience in cloud computing platforms such as AWS, Google Cloud, or Azure, deep knowledge of LLMs, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and hands-on experience with cloud platforms and MLOps tools for scalable deployment are essential requirements. Additionally, experience with API development, integration, model deployment pipelines, strong problem-solving skills, proactive approach to challenges, effective communication in cross-functional teams, and excellent organizational skills with attention to detail in managing complex systems are necessary for this role. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. If you require accommodations due to a medical condition or disability, please reach out to diversityandincl.india@novartis.com. This role at Novartis offers the opportunity to be part of a community of smart, passionate individuals dedicated to creating breakthroughs that change patients" lives. If you are ready to contribute to a brighter future, visit https://www.novartis.com/about/strategy/people-and-culture to learn more about Novartis and its commitment to diversity and inclusion.,
