ROLE SUMMARY

The Pfizer Intelligent Assistance Solutions (IAS) Team within the AI Data and Analytics (AIDA) organization is responsible for the products/platforms strategy of Machine Learning (ML), Natural Language Process (NLP) and Generative AI capabilities across the enterprise.  Its mission is to innovate, develop, standardize and scale breakthrough GenAI/AI/ML/NLP solutions, products and platforms that enable Pfizer to connect digitally with all our customers. 

We are looking for an AL/ML Engineer with strong experience evaluating, developing and support a variety of machine learning model types, along with various NLP data pipelines to co-create new AI products.    You will need to apply state of the art GenAI/ML/NLP and full-stack software engineering techniques to enable end to end intelligent solutions for unique business problems.  You will take on the role of Technical Product Owner for new products and lead the vision, strategy and service roadmap for each product. The ideal candidate will be passionate about AI in healthcare and stay up to date with the latest developments in the field.

ROLE RESPONSIBILITIES

• Understand business challenges and develop strategy/roadmap to pilot and develop AI software products that help to achieve business goals.

• Research, evaluate and develop standard patterns of use for various model types (i.e.: LLMs, SLMs, custom domain specific models).

• Evaluate and standardize on model evaluation, validation, MLOps/LLMOps frameworks.

• Experiment, develop reusable GenAI/ML/NLP based pipelines through a micro-services-based architecture.

• Provide active hands-on technical guidance and leadership through the entire lifecycle of GenAI/NLP based development projects.

• Present model outcomes in a business friendly and scientifically rigorous manner.

• Managerial responsibility rotational colleagues, interns and contingent workers.

QUALIFICATIONS

• Degree in Data Science, Computer Science, Informatics, life sciences, physics, applied mathematics, statistics or related field.

• 5 years as a data scientist, machine learning or NLP engineer.

• 5 years working with different types of enterprise and real-world data sets – structured, semi-structured and unstructured data.

• Deep hands-on experience with LLMs and GenAI concepts such as prompt engineering, RAG, GraphRAG, and fine-tuning.

• Expertise in supervised and unsupervised Machine Learning and Deep Learning techniques, with emphasis on Natural Language Processing (NLP).

• Experience with NLP libraries and technologies including Spacy, PyTorch & Deep Learning models.

• Expertise in NLP feature engineering and modeling (e.g., text classification, entity recognition, dependency parsing), hyperparameter optimization, model selection and validation.

• Experience with State-of-the-Art modeling techniques, such as transformers (e.g., BERT, GPT-_N_).

• Proficiency in leveraging cloud-based machine learning resources such as those from Amazon Web Services or Google Cloud for model training and productization.

• Strong understanding of Software Engineering and Agile Software Development Life Cycle principles.

• Expertise with Python. Good proficiency with SQL, Scala, or Java.

• Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience.

• Ability to multitask and lead several project workstreams in parallel.

• Present and communicate effectively to senior leadership in non-technical manner.

GENERAL SKILLS REQUIREMENTS

Advisor/Consultancy:

• Provides well-informed advice, typically within a specific technical specialization, ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities.  Provides advice on technical aspects of ML/NLP/GenAI and ensures that relevant technical strategies, policies, standards and practices are applied correctly.

Technical Acumen:

• Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks. 

Thought Leadership & Advocacy:

• Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI topics.

Presentation Skills:

• Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholders.

PHYSICAL/MENTAL REQUIREMENTS

• Ability to manage many parallel objectives and changing priorities.

• Ability to work through ambiguous requirements

• Strong problem-solving skills.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

• Ability to work across time zones to collaborate with teams in Asia, Europe, US (IST, GMT, EST and PST). Must be flexibility to work early or later to support project deliverables and stakeholders.

Other Job Details

• Last day to apply: November 10, 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 $93,500.00 to $155,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% 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.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.  These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure.  Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act.  Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government.  If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & 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, disability or veteran status.  Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Pfizer is an E-Verify employer.  This position requires permanent work authorization in the United States.

Information & Business Tech