- Bachelor's degree in computer science, engineering, mathematics, or a related field.
- 5+ years of cloud technology leadership experience with a strong foundation in cloud services and infrastructure.
- 2+ years of hands-on experience integrating AI technologies such as machine learning and deep learning with cloud platforms (AWS, Azure or Google Cloud.)Additional Preferences:
- Advanced AI Expertise: Proficiency in implementing advanced AI technologies, including machine learning, deep learning (using frameworks like TensorFlow or PyTorch), and natural language processing.
- Programming Skills: Expertise in programming languages crucial for cloud-based AI integration, such as Python, Java, or Scala. Experience with AI-specific libraries and APIs is highly valued.
- Cloud Services Proficiency: Extensive experience with major cloud services providers like AWS, Azure, or Google Cloud, particularly in deploying and managing AI environments. Certifications in these platforms (e.g., AWS Certified Solutions Architect or Google Cloud Professional Cloud Architect) are preferred.
- Full Stack Development: Knowledge of full stack development including both front-end technologies (HTML, CSS, JavaScript, Angular, React) and back-end systems , Django, Flask).
- API Design and Development: Experience with designing and implementing RESTful APIs to integrate with front-end services and facilitate backend data processing.
- Database Management: Familiarity with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra), to handle data flow and storage efficiently.
- CI/CD Pipelines: Skilled in developing and maintaining CI/CD pipelines for seamless code integration and deployment using tools like Jenkins, GitLab, or CircleCI.
- Data Manipulation and Analysis: Proficiency with data manipulation tools (Pandas, NumPy) and experience using data visualization libraries and tools.
- Collaboration and Leadership: Strong problem-solving skills and the ability to work collaboratively in a dynamic team environment. Capability to lead projects, mentor junior developers, and drive initiatives within cross-functional teams.
- Regulatory Compliance: Experience in industries with strict data security and privacy regulations, such as financial services or healthcare, providing a clear understanding of compliance requirements.
- Continuous Learning: Eagerness to engage in continuous professional development to keep pace with advancements in AI, cloud technology, and full-stack development.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.
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. 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. #WeAreLilly -
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AI Cloud Engineer - Indianapolis, United States - Eli Lilly and Company
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 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 Cloud Engineer who is passionate about harnessing the power of AI to optimize cloud environments and develop innovative cloud solutions. This role is ideal for those who are motivated by complex technical challenges, have a mastery of cloud architecture and AI technologies, and have a strong interest in leveraging AI to solve practical, real-world problems. As an AI Cloud Engineer, you will work on technology teams building 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:
Cloud AI Integration: Develop and implement AI-powered algorithms within our cloud platforms to improve automation and operational efficiencies. Leverage machine learning and data analytics to enhance resource management and service offerings.
AI-Driven Cloud Architecture: Design resilient and scalable cloud architectures that integrate advanced AI functions. Ensure that our cloud solutions are not only robust but also capable of evolving with the technological landscape.
Performance Optimization: Utilize AI to analyze and optimize the performance of cloud systems, ensuring maximum efficiency and minimizing costs. Implement predictive analytics to foresee potential system failures or bottlenecks and proactively rectify them.
Cross-functional Collaboration: Work closely with software developers, system architects, and product managers to embed AI technologies into our cloud services. Foster a collaborative environment that aligns technological developments with strategic business goals.
Continuous Improvement and Innovation: Stay abreast of emerging trends and technologies in AI and cloud computing. Drive innovation by testing and adopting new technologies that can provide competitive advantages.
Ethical AI Deployment: Adhere to ethical standards in AI usage, ensuring that all AI solutions comply with privacy laws and regulatory requirements, and uphold the integrity and security of user data.
How You Will Succeed:
Analytical and Problem-Solving Skills: Use advanced analytical abilities to address complex technical issues, employing AI and cloud computing principles to devise effective solutions.
Technical Expertise: Combine your deep knowledge of AI algorithms with cloud architecture skills to enhance and innovate our cloud service offerings.
Adaptive Communication: Effectively convey complex AI and cloud concepts to a diverse audience, ensuring clarity and alignment across various departments.
Leadership and Vision: Lead projects and guide teams towards achieving shared objectives, using your visionary approach to influence strategic direction and innovation.
Continuous Learning: Commit to ongoing professional development to keep pace with rapid advancements in AI and cloud technologies, ensuring our practices remain cutting-edge.
What You Should Bring:
Proven Experience in AI and Cloud Computing: Extensive hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with implementing AI solutions in these environments.
Advanced Technical Skills: Proficiency in programming languages such as Python, Java, or Scala, and experience with AI frameworks like TensorFlow or PyTorch.
Strong Foundation in Cloud Architecture: Solid understanding of modern cloud infrastructure, services, and security practices, including experience with serverless architectures, microservices, and containerization technologies.
Innovative Thinking: A strong track record of innovation in applying AI to solve practical problems and improve technological functionalities.
Ethical and Secure Engineering Practices: A commitment to maintaining high standards of ethics and security in all engineering and data handling practices.
Your Basic Qualifications:
