• Work closely with teams across Pfizer to maximize the use of ML and Generative AI capabilities to support efforts focused on digitizing the enterprise by redefining existing internal business processes and how Pfizer engages with patients and healthcare providers.
• Management, mentorship and development of 5-6 ML/AI Product engineering colleagues.
• Lead and execute on high value Po Cs/MVPs related to NLP and Generative AI.
• Serve as subject matter experts for Small and Large Language models assessment activities.
• Develop and maintain models strategy, roadmaps and common evaluation frameworks.
• Incubate and maintain a pipeline focused on exploratory investigations for new models, microservices and product ideas.
• Manage project delivery goals through a combination of good planning, removing obstacles, technical mentoring, reviewing work, and fostering positive collaboration with product, design and other engineering teams.
• Partner with other Data Science & AI oriented groups within Pfizer to develop common tools & approaches through participation in formal/informal community of practice activities.
• Define and clearly communicate vision and business value of ML-based initiatives to key business stakeholders (Sr. Director/VP level).
• Shared ownership of advancing team's capabilities in innovative areas.
• Contribute to critical talent acquisition and development activities through external partnerships and co-sponsored hackathons.

• MS Degree in Engineering, Computer Science or Data Science.
• 10+ years prior work experience in Life Science, Healthcare or associated consulting practice.
• 8+ years of experience directly managing a team of software engineers or ML Engineers.
• 6+ years' experience working within AWS Ecosystem.
• 6+ years of hands-on programming experience in at least one of the following: SQL, Python, JAVA, C/C++.
• 5+ years ML coding experience (statistical learning, deep learning, Tensorflow/Keras, GCP/AWS)
• Strong working knowledge of machine learning model architectures (i.e.: Neural Networks Transformer etc...).
• Demonstrated track record of recruiting and grooming engineers and data scientists.
• Demonstrated experience in applying Responsible AI and MLOps principles in practice.
• Strong knowledge of project management principles and agile scrum practices.
• Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data, models & tool sets.
• Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively multi-task and drive several workstreams forward.
• Strong written and verbal communications skills.
• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

• Ability to work in group settings over virtual meetings and different time zones.

• Flexible to work across different time zones as necessary.

• Last day to apply: September 11, 2024
• Work Location Assignment: Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.

The annual base salary for this position ranges from $131,200.00 to $218,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided applies to the Tampa, FL location only. The salary range provided does not apply to any other United States location or locations outside of the United States. Information & Business Tech