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.
Come shape the future of our industry by bringing Artificial Intelligence capabilities to life.
Digital Core is actively looking for an Artificial Intelligence Data Engineer to build and fuel AI models and solutions that improve performance and reliability of processes and systems in pharma. Are you passionate about artificial intelligence and the impact it can have across an entire industry? Are you a change agent who can influence organizations? If so, bring YOUR skills and talents to Lilly where you'll have the chance to create an impact on the lives of patients.
What You'll Be Doing
As our Artificial Intelligence Data Engineer, you will:
Data Pipeline Architecture: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices.
Data Integration and Orchestration: Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Integrate new data management technologies and software engineering tools into existing structures.
Data Storage and Processing: Implement data storage solutions that support the volume, velocity, and variety of data. Optimize data retrieval and develop dashboards, reports, and other visualizations for stakeholders.
Collaboration with AI Teams: Work closely with AI researchers, machine learning engineers, and software developers to ensure seamless integration of AI and machine learning models into the data ecosystem.
Continuous Improvement: Continuously monitor, test, and improve the performance of data management systems to ensure they meet the evolving needs of the business.
Innovation and Research: Stay up-to-date with industry trends and advancements in AI, machine learning, and data engineering. Explore and adopt cutting-edge technologies and methodologies to enhance our AI capabilities.
How You'll Succeed
Technical Mastery in Data Engineering: Leverage your extensive knowledge in data engineering and architecture principles, along with your experience in building and optimizing data pipelines, architectures, and data sets.
Strategic Problem Solving: Utilize your problem-solving skills to design and implement innovative solutions that support AI initiatives and business objectives.
Agile Methodology: Apply agile and lean methodologies in managing data engineering projects, ensuring timely delivery and adaptability to change.
Collaborative Excellence: Excel in a collaborative environment, working alongside other AI professionals and stakeholders to integrate AI into our business processes seamlessly.
Innovation and Curiosity: Drive innovation by exploring new tools, technologies, and processes in AI and data engineering. Maintain a curious mindset, always looking for ways to improve and advance our capabilities.
What You Should Bring
Proven Experience: A solid track record in data engineering with a specific focus on AI-driven projects. Demonstrable experience with data structures, algorithms, and software engineering principles.
Technical Proficiency: Hands-on experience with big data tools (Hadoop, Spark, Kafka, etc.), data pipeline and workflow management tools, and cloud services (AWS, Google Cloud, Azure). Proficiency in programming languages such as Python, Scala, or Java.
Data Modeling and Analytics: Expertise in data modeling, data warehousing, and building ETL pipelines. Familiarity with machine learning algorithms and how they are applied in big data platforms.
Communication Skills: Exceptional communication skills to effectively collaborate with cross-functional teams and articulate complex concepts to non-technical stakeholders.
Your Basic Qualifications:
Bachelor's degree in computer science, engineering, mathematics, or a related field.
2+ years of technology leadership experience with expertise in industry standard data engineering tools and practices.
1+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
Additional Preferences:
Proficiency in programming languages such as Python, or other languages such as Java, R, C , and JavaScript. Knowledge of related libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
Understanding of software development methodologies (Agile, Scrum), version control systems (Git), containerization technologies (Docker, Kubernetes), and CI/CD pipelines.
Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and experience with SQL and NoSQL databases
Knowledge of NLP techniques and tools focusing on text analysis and understanding such as sentiment analysis, text classification, entity recognition, and the use of libraries like NLTK, SpaCy, or Gensim
Understanding of machine learning algorithms (supervised and unsupervised learning, neural networks, decision trees, logistic regression, etc.) and deep learning frameworks (such as TensorFlow, PyTorch)
Deep understanding of and experience with advanced machine learning and deep learning techniques, particularly those related to generative models like GANs, autoencoders, and transformers. Knowledge of how to design, train, and optimize these models.
Additional Information:
Position located in Indianapolis, Indiana working in a hybrid model. Remote work within the US may be considered.
Travel may be required periodically.
Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.
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Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.