Sr.Data & AI Engineer

About the job

Job Title Sr.Data & AI Engineer Job Description Job Responsibilities: • 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. • 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. • 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. • 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. • 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. • 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. • Communicates effectively technical findings and insights to both technical and non-technical audiences, tailoring communication style and detail level to the specific audience. • 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. • 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. • 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) certified Preferred Skills: • Troubleshooting • Data Analytics • Statistical Methods • Data Harmonization & Processing • Cybersecurity • Artificial Intelligence (AI) • Scripting & Automation • AI Algorithm Development • DevOps • Business Acumen • Data Governance • Continuous Improvement • Requirements Gathering • Verification Testing • API Integration 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 company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. this role is an office role. 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.

Requirements

• Data Analysis
• Data Pipelines
• Machine Learning
• AI Models
• DevOps

Qualifications

• Bachelor's / Master's Degree in Computer Science
• Information Management
• Data Science
• Econometrics
• Artificial Intelligence

Preferred Technologies

• Data Analysis
• Data Pipelines
• Machine Learning
• AI Models
• DevOps

About the company

Philips is a global health-tech leader focused on improving people's health and well-being through meaningful innovation. With over 130 years of experience, they develop technologies in various healthcare sectors ensuring quality healthcare access for everyone.