Generative AI - Senior Team Lead

Key Skills

Applied Machine Learning, Data science techniques, Design, DevOps, ITIL, Management, Natural language generation- NLG, Software Development

Job 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 :

Senior Team Leader

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.

Key Responsibilities:

• Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices
• Demonstrated interpersonal skills, teamwork and people development
• Provide mentorship to accelerate the development of solution architecture and technical expertise, specific to the Lilly IDS environment
• Knowledge of architectural options and the ability to select based on needs and budget. Understand the business processes being supported by the team
• Coach and develop team members through performance management, development planning, promotion, and career plans; represent those team members in talent discussions.
• Resourcing - continue the team growth through selection techniques, testing and interviews.
• Organize your work within an Agile team & Knowledge on Sprint ceremonies (Planning, Estimation, Execution, Reporting & highlight Risks & Impediments)

Key Skills:

• Demonstrate excellent communication, leadership, critical thinking, collaboration and decision-making skills
• Possess a positive and energetic attitude, with a view to moving the business forward
• Strong self-management and ability to work in ambiguity
• Experience leading highly motivated engineers, with specialized skills and diverse functional elements.
• Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, and DevOps)
• Understanding and knowledge of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL)
• Understanding of architecture, design principles to guide the development team

Required Experience:

• Minimum 3 years of management of a team or teams, should be able to lead a team of around 8 to 12 people
• Minimum 10 years of total experience
• Proven track record in capacity management and project estimation
• Strong background having breadth of experience and technical knowledge
• Lead teams to rationalize, optimize and support applications for maximum speed and scalability with industry best practices.
• Proven experience leading a team in a regulated industry including but not limited to, understanding regulations, SOPs, computer systems validation, and change control.
• Preferred to have experience / interest related to Pharma domain
• Preferred certification in one of fields PMP, PMI, PRINCE II, Safe , CSM, SEI etc
• Knowledge in ITIL, Service Now

Technical Role Objective:

• 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

Build effective relationships with business areas, strategic vendors, and key delivery partners such as the Advanced Analytics and Data Sciences (AADS) group to share expertise and seek opportunities to reuse internal processes and services, so we can streamline implementation and support of key systems.

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 ( Lilly_Recruiting_Compliance@lists.lilly.com ) 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 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.