4.0 - 6.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Job Description Job Title: Data Engineer Your Role: Design, create, test and maintain data pipeline architecture in collaboration with the Data Architect. Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies. Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams. Build data pipelines that clean, transform, and aggregate data from disparate sources. Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance. Engage with Product Management and Business to deploy and monitor products/services on cloud platforms. Stay up to date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience. Handle data integration, consolidation and reconciliation activities for digital consumer / medical products. You're the right fit if: Masters or Ph.D. in Computer Science, Electrical, Electronics Engineering or related field. Min. 4 yrs of experience in AI & Data Science field. Understanding of the state-of -the-art Computer vision, NLP, GenAI for Imaging algorithms. Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture. Experience in CV based Deep Learning models like Unet, YOLO etc. Experience with Machine learning and deep learning frameworks like PyTorch , Tensorflow, OpenCV. Experience in Cloud deployment of AI algorithms. Application knowledge on Statistics skills such as distributions, statistical testing, regression, etc. Experience with one or more analytic software tools or languages like Python. Strong analytical, problem solving and communication skills. 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 . #DIW #LI-PHILIN #PersonalHealth

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