Pfizer's Purpose
Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most.
Role Summary
We are seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions.
This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.
Key Responsibilities
* Data Modeling and Engineering: Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes.
* Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs: Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.
* Complex Data Products: Develop complex data products that are beneficial for PGS and allow for reusability across enterprise.
* Collaboration: Ability to collaborate with contractors to deliver technical enhancements.
* Automated Systems: Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.
* Internal APIs and Data Solutions: Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.
* Data Analysis: Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.
* Root Cause Analysis: Conduct root cause analysis and address production data issues.
* AI Models and Algorithms: Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.
* Staying Up-to-Date: Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.
* Technical Expertise: Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.
* Documentation and Presentation: Document and present findings, methodologies, and project outcomes to various stakeholders.
* Integration and Collaboration: Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.
* Large and Complex Datasets: Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.
BASIC QUALIFICATIONS
* Degree: A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.
* Experience: Over 2 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.
* Ai Experience: Over 1 year of experience in AI, machine learning, and large language models (LLMs) development and deployment.
* Healthcare or Pharmaceutical Setting: Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.
* Strong Understanding: Strong understanding of data structures, algorithms, and software design principles.
* Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.
* Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.
PREFERRED QUALIFICATIONS
* Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
* ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.
* Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
* Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.
* Ai and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices.
* Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.
* Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.
* Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.
* Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.
* Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.
Work Location Assignment
The position will be assigned to a hybrid work location. The annual base salary for this position ranges from $77,100.00 to $128,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary.
Pfizer offers 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.
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.