AI Application Lead

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Job Title: IBU Solution Services AI Senior Engineer

Job Function: Information and Digital solutions

Location: Bangalore, India

Hiring Manager: Amit Singh

Role Level: 8 to 10 years

Education Requirements: Bachelor's Degree (or equivalent work experience)

Internal / External: Internal External

Detailed Description:

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the globe.

• Competency:

AI Senior Engineer

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications
• Build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
• Demonstrate deep knowledge and expertise in foundational and large language models, as well as related AI technologies and frameworks.
• Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
• Collaborate on defining best AI/ML driven practices and AI lifecycle
• Work across functions to develop AI solutions using NLU, ML, and AI.
• Design, build, and deploy predictive models and statistical analyses to solve business problems and optimize processes.
• Conduct thorough testing and validation of models to ensure accuracy, reliability, and scalability.
• Accelerate the delivery of AI use cases in collaboration with the other AI teams to deliver the highest business impact use cases.
• Develop, improve, and carry out plans for using AI and its effects, along with finding new ideas and partnerships to help.
• Choose the right AI tools and models for the job and build and train them using Python and other free technologies.
• Collaborate with different teams to create AI solutions that can generate new content using language understanding and machine learning.
• Provide technical guidance and mentorship to junior team members, and actively participate in knowledge sharing activities.

Required Technical Skills:

In

• Bachelor's degree in computer science, information technology, management information systems or equivalent work experience in Data Science, AI/ML
• Overall experience of 8-10 years of experience with 2 years preferred experience in AI research and development, with a focus on healthcare or life sciences applications.
• Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable.
• Strong programming skills, with proficiency in Python, R and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Familiarity with cloud platforms (e.g., AWS, Azure) and related services is a plus.
• Preferred experience in Node/React to help build application around AI solutions.
• Experience working with large datasets and performing data pre-processing, feature engineering, and model evaluation.
• Ability to understand customer needs and business objectives in Pharmaceutical domain preferably Clinical. Experience in working closely with clinical Statisticians/Study Builder/ Study Designers and translating their requirements into effective AI solutions.

Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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