Job Title Sr Data AI Engineer 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 Learn more about our business Discover our rich and exciting history Learn more about our purpose If you re 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 here LI-Hybrid LI-PHILIN

📌 Sr.data & Ai Engineer (Karnataka)
🏢 Philips
📍 Karnataka