Generative AI – Domain Solution Architect

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.

Organization Overview:

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.

This role of Generative AI – Domain Solution Architect will be part of MQ DIA Tech@Lilly organisation and will help us drive the MQ transformational products.

Responsibilities:

This position is for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to

training models and deploying them to production.The key responsibilities will be to prepare modern Natural Language Technology (NLT) platforms to gain insights from key

business data. The employee will be responsible for designing, implementating and managing data preparation and advanced analytics tools in addition to demonstrating

insights from the varied sources of data to business users. Responsibilities also include developing and designing language understanding/generation systems and effectively

using text representation techniques.

Objectvies of the role:

• Work in tandem with our engineering partners to identify and implement the most optimal cloud-based ML solutions for the company.
• Research, design and adopt cutting-edge NLG algorithms to address real-world challenges such as summarisation.
• Define and document best practices and strategies regarding deployment and infrastructure maintenance.
• Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design.
• Maintain a platform that automates creating, training, deploying and updating machine learning models.
• Managing BI Platforms in accordance with company security guidelines

Basic Requirements:

• 8-12 years of production model deployment experience for AI/ML solutions.
• Designing, developing, and researching Machine Learning systems, models, and schemes through data science and data analytics prototypes.
• Understanding of Natural Language Processing(NLP), Natural Language Understanding(NLU) and Natural Language Generation(NLG).
• Develop and implement technical efforts to design, build, and deploy AWS ML models , including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
• Familiarity with deep learning, machine learning and NLP/NLG frameworks(like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries like scikit-learn, spacy, gensim, CoreNLP etc.
• Should have experience in AWS services such as SageMaker, Elasticsearch, EC2, and general knowledge of AWS architecture & other services.
• Ability to write robust code in Python, Java and R.
• Experience optimizing model hyperparameter tuning for speed and cost
• Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot.
• Experience with Docker and Kubernetes.
• Familiarity with Eventbridge and AWS step function for workload orchestration.
• Experience with Agile Development.
• Good experience in process improvement/change management methods.
• Knowledge of various aspects of an enterprise technology architecture like business, information, data, network, and security.
• Understanding and knowledge of system development life cycle methodologies (such as waterfall, agile software development, rapid prototyping, and DevOps).
• Understanding and knowledge of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL).
• Excellent analytical, planning, organizational and technical and skills.
• Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making.
• Ability to articulate new ideas and concepts to technical and nontechnical audiences.

Additional Skills/Preferences:

• 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).
• Ability to understand the long-term ("big picture") and short-term perspectives of situations.
• Prior experience in global projects in Pharma.

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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