Medical Affairs Gen AI Engineer Full-time

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.

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:

Gen AI Engineer

Responsibilities:

• Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions.
• Optimize deep learning models, including CNNs, RNNs, GANs, and transformer-based models.
• Develop and maintain scalable and efficient machine learning pipelines and infrastructure.
• Conduct thorough model evaluation, validation, and testing to ensure high performance and accuracy.
• Stay at the forefront of AI/ML advancements and integrate cutting-edge techniques into existing and new projects.
• Implement Gen-AI solution with latest tech stacks
• Author and maintain detailed documentation of processes, methodologies, and best practices.
• Implement and optimize cutting-edge deep learning models, such as Generative Adversarial Networks (GANs) and transformer architectures (e.g., BERT, GPT).
• Develop and deploy reinforcement learning models.
• Explore and implement federated learning approaches to build AI/ML models while preserving patient data privacy and security.
• Integrate explainable AI (XAI) techniques to ensure transparency and interpretability of machine learning models.

Requirements:

• Extensive experience in developing and deploying machine learning models in a production environment.
• Advanced proficiency in programming languages such as Python, R.
• Expert knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Transformer, Keras and others.
• Demonstrated expertise in natural language processing (NLP), computer vision, and reinforcement learning and Gen AI.
• Proficiency in data manipulation and analysis using tools like Pandas, Dask, NumPy, and SQL.
• In-depth experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Strong problem-solving skills with the ability to tackle complex technical challenges independently or as part of a team.
• Exceptional communication skills, both written and verbal, to effectively convey complex technical concepts to non-technical stakeholders.

Desirable Skills:

• 4+ years of experience with AI / ML solutions
• Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed.
• Strong teamwork, problem-solving, and analytical skills
• Deep knowledge of math, probability, statistics, and algorithms
• Strong understanding of Pharma Quality Standards and Practices
• Excellent leadership and interpersonal skills (both verbal and written)

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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