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Lilly Principal Machine Learning Architect in Indianapolis, Indiana

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 35,000 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.

Medicines Development (MD) Information and Digital Solutions (IDS) serves as a strategic technology function within Lilly Research and Development.

We have an immediate need for a motivated individual to serve as MD IDS Principal Machine Learning Architect. Are you passionate about influencing and delivering technical software and data architectures, defining machine learning approaches and models, building re-usable code accelerators, establishing best practices, and collaborating with data scientists?

This role will influence the adoption, maturation, and strategic direction of machine learning and artificial intelligence to improve efficiency and drive transformation for Medicines Development.

Key Objectives and Responsibilities

  • Be an expert source on machine learning to drive delivery of innovative solutions

  • Propose new ways of approaching business solutions with emerging technologies

  • Prototype new ways of applying technologies to solve business problems

  • Educate others so that they can demonstrate the new ways of achieving the desired outcomes

  • Build and maintain machine learning principles, best practices, and code accelerators

  • Conduct external research and internal experimentation on the application of machine learning techniques

  • Champion solution delivery behaviors and approaches from software engineers that accelerate delivery of reliable solutions and create a culture of collaboration

  • Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management

Basic Requirements

  • Bachelor’s Degree in Computer Science, Data Science, or a related field;

  • 5+ years of professional and/or postgraduate academic research experience in software engineering

  • 2+ year of experience designing and developing machine learning solutions

  • 1+ years of experience with cloud native engineering, AWS preferred

Additional Skills/Preferences

  • Master’s Degree preferred

  • Excellent self-management skills

  • Excellent leadership and interpersonal skills, including oral and written communication

  • Experience working with individuals across organizational boundaries

  • Ability to lead and achieve results through others while also being an individual technical contributor

  • Demonstrated broad and deep technology learning agility

  • Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, and deep learning

  • Demonstrated proficiency with analysis, modeling, and interpretation of common and complex data structures, including query development

  • Strong understanding of probability and statistical models (generative and descriptive models)

  • Advanced programming skills with C/C++, Python, Java, or R

  • In-depth technical knowledge of cloud-native machine learning services (e.g. AWS SageMaker, Kendra, Neptune ML, etc.) and frameworks (PyTorch, TensorFlow, etc.)

  • Experience leading teams or in formal leadership roles

  • Effective collaboration skills; work with team dynamic strengths and different viewpoints demonstrating the ability to influence peers

  • Demonstrated application of agile methodology in design and delivery of solutions

  • Familiarity with pharmaceutical development and the expanding role of technology in the industry

Other Information

  • Position is located at the Lilly Corporate Center in Indianapolis, IN

  • Travel may be required periodically

Lilly is an EEO/Affirmative Action Employer and 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.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company. If you would like to request an accommodation for medical or religious reasons, you may do so at workplace_adjustment@lilly.com.

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.​ We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!

#WeAreLilly

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