Manager, Machine Learning

ROLE SUMMARY

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific and clinical domains together through data and analytics? Then join Pfizer Digital’s AI & Data Analytics (AIDA) organization where you can leverage cutting-edge technology including AI and ML to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of global teams drives insights to action for some of the most critical business questions for the company. Our analytics professionals are based in over 30 countries around the world and come from diverse backgrounds including: software engineering, data science, digital analytics, finance, investment banking, corporate development, and consulting. Join one of our teams and be at the forefront of Pfizer’s digital transformation, driving innovation and bringing advance analytics to change patients’ lives.

As an AI/ML Engineer, you will be part of a team to develop new capabilities that leverages AI to solve complex problems across the enterprise. In this role, you will be responsible for overseeing the design, implementation, and deployment of AI and machine learning models and algorithms, ensuring their accuracy, scalability, and effectiveness. The ideal candidate will have a strong technical background in machine learning and/or software engineering and a passion for innovation, bridging the gap between data, technology, and people, to deliver the promise of AI/ML to improve patients’ lives.

ROLE RESPONSIBILITIES

• Design, develop and deploy machine learning products & approaches to solve business problems across multiple domains, including commercial, medical affairs, and R&D.
• Engage with stakeholders across the enterprise to understand and solve complex problems through AI/ML (including generative AI methods where appropriate) to inform business strategy and decisions
• Design and execute advanced analytics and predictive modeling projects using rigorous statistical methods and machine learning techniques
• Design, develop, deploy and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution
• Research, identify, and apply new algorithms and technologies to solve complex problems and systematize solutions into reusable assets and capabilities
• Practice Agile-based project management standards (i.e. daily check-in procedures, workload status, and cost overruns/projections)
• Identify emerging technologies, evaluate their potential impact, and make informed decisions on adopting new tools, frameworks, and methodologies.

BASIC QUALIFICATIONS

• Proven experience (5+ years) as a software engineer, ML engineer, or data scientist and project lead for a diverse range of projects, with a focus on developing and deploying production-grade solutions.
• Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis – Statistics, Computer Science, Economics, Engineering etc.
• Strong programming skills in languages such as Python, Java, or C++, and proficiency with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Applied knowledge of statistical analysis, experience with R, Excel, etc.
• Strong background in computer science: algorithms, data structures, machine learning, and distributed systems.
• Superior analytical skills required; Strong verbal and written communication skills
• Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

PREFERRED QUALIFICATIONS

• Advanced understanding of machine learning algorithms, deep learning architectures, and statistical techniques.
• Experience with foundation models, LLMs, and generative AI.
• Proficiency in data preprocessing, feature engineering, and dimensionality reduction.
• Familiarity with software engineering principles (e.g. version control, testing, and deployment)
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks is a plus.
• A passion for staying up-to-date with the latest advancements in AI and machine learning technologies and a commitment to continuous learning.
• Experience working in Agile processes and practices.

EEO (Equal Employment Opportunity) & Employment Eligibility 

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.