Clinical Fullstack AI ML Engineer

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.

As an AI/ML Engineer in CDDA LRL, you will be responsible for delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with business stakeholders to understand business requirements and implement custom AI solutions that address complex challenges. You will have the opportunity to accelerate the AI adoption across the business landscape in the Clinical Design, Delivery and Analytics. As an AI/ML engineer, you will be at the forefront of innovation, working on cutting-edge projects that are shaping the future of AI and machine learning.

 Key Responsibilities:

• Collaborate with Clinical stakeholders to understand their business needs and challenges, design and implement AI solutions ensuring scalability, reliability, and performance.
• Demonstrate deep knowledge and expertise in foundational and generative models/large language models, as well as related AI technologies and frameworks.
• Identify potential challenges, constraints, and opportunities for innovation in Clinical space to provide recommendations and propose effective solutions.
• Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
• Define best AI/ML driven practices and AI lifecycle
• Work across functions to develop and architect 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:

• Overall 4-6 years of experience with minimum 2 years of 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.
• Experience in generative AI techniques such as GANs and VAEs.
• Strong programming skills, with proficiency in Python, R and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus.
• Experience working with large datasets and performing data pre-processing, feature engineering, and model evaluation.
• Familiarity with computer vision and image generation using AI.
• Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust 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.

Demonstrate a growth mindset to understand business processes and challenges

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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