Sr.Data & AI Engineer

Job Responsibilities:
u2022 Analyzes complex datasets to identify key trends, patterns, and potential data quality issues that could impact model performance or downstream analytics, working under general supervision.u2022 Develops and implements efficient data pipelines to extract, transform, and load data from various sources, ensuring data integrity, consistency, and adherence to data governance standards.u2022 Deploys machine learning and AI models in production environments and develops approaches for AI DevOps, adhering to best practices for security, scalability, and model explainability which may involve containerization and orchestration for robust deployments.u2022 Monitors and maintains data pipelines and AI models, proactively identifying and resolving performance bottlenecks or potential issues to ensure continuous functionality and optimal model performance.u2022 Documents data pipelines, models, and processes thoroughly, ensuring clarity, maintainability, and effective knowledge transfer within the team. This documentation should be tailored for both technical and non-technical audiences.u2022 Troubleshoots data quality problems, performs root cause analysis to identify the source of data quality issues and collaborate with data scientists to design and implement effective solutions.u2022 Communicates effectively technical findings and insights to both technical and non-technical audiences, tailoring communication style and detail level to the specific audience.u2022 Learns and adapts skillset by staying up-to-date on the latest advancements in data engineering and AI technologies, explores new tools and techniques to improve ability to deliver efficient and impactful data solutions.u2022 Works with business teams to understand their data needs and challenges and collaborates with data scientists to translate those needs into well-defined technical requirements and actionable data solutions.u2022 Supports data scientists throughout the entire AI lifecycle by preparing data for analysis, building and optimizing data infrastructure for specific needs, and automating data workflows to streamline the model development process.Minimum required Education:
Bachelor's / Master's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.Minimum required Experience:
Minimum 5 years of experience with Bachelor's in areas such as Data Handling, Data Analytics, AI Modeling or equivalent OR no prior experience required with Master's Degree.Preferred Experience:
Experience in using programming languages such as Python, R, JAVA, C/C++Preferred Certification:
Artificial Intelligence Board of America (ARTiBA) certifiedPreferred Skills:
u2022 Troubleshootingu2022 Data Analyticsu2022 Statistical Methodsu2022 Data Harmonization & Processingu2022 Cybersecurityu2022 Artificial Intelligence (AI)u2022 Scripting & Automationu2022 AI Algorithm Developmentu2022 DevOpsu2022 Business Acumenu2022 Data Governanceu2022 Continuous Improvementu2022 Requirements Gatheringu2022 Verification Testingu2022 API Integrationu00A0

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.Onsite roles require full-time presence in the companyu2019s facilities.Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations.this role is an office role.u00A0

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.u2022 Learn more about .u2022 Discover .u2022 Learn more about .If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .

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