Senior Associate, Data Engineer – AI and Automation

<h2><b>ROLE SUMMARY</b></h2><h2></h2><p><span><span>Pfizer is </span><span>seeking</span><span> a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will </span><span>be responsible for</span><span> 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 </span><span>cutting-edge</span><span> technology, and a commitment to improving patient outcomes.</span></span><span> </span></p><p></p><h2><b>ROLE RESPONSIBILITIES</b></h2><ul><li><p><span><span>Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes. Create test plans, test scripts, and perform data validation.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise. </span></span><span> </span></p></li></ul><ul><li><p><span><span>Ability to collaborate with contractors to deliver technical enhancements.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Develop internal APIs and data solutions to enhance application functionality and </span><span>facilitate</span><span> connectivity.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Conduct root cause analysis and address production data issues.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Provide technical </span><span>expertise</span><span> and guidance to team members and stakeholders on AI-related initiatives.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Document and present findings, methodologies, and project outcomes to various stakeholders.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection</span></span></p></li></ul><h2></h2><p></p><h2><b>BASIC QUALIFICATIONS</b></h2><ul><li><p><span><span>A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.</span></span><span> </span></p></li></ul><ul><li><p><span><span>3+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Over 1 </span><span>years</span><span> of experience in AI, machine learning, and large language models (LLMs) development and deployment.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Proven </span><span>track record</span><span> of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Strong understanding of data structures, algorithms, and software design principles</span></span><span> </span></p></li></ul><ul><li><p><span><span>Programming Languages: </span><span>Experience</span><span> in Python, SQL, and familiarity with Java or Scala.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</span></span><span> </span></p></li></ul><p></p><p></p><h2><b>PREFERRED QUALIFICATIONS</b></h2><ul><li><p><span><span>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google </span><span>BigQuery</span><span>, or Snowflake.</span></span><span> </span></p></li></ul><ul><li><p><span><span>ETL Tools: Knowledge of ETL tools like Apache </span><span>NiFi</span><span>, Talend, or Informatica.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</span></span><sp