Senior Software Engineer - AI

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This site uses cookies to offer you a better browsing experience. □Mandatory Cookies (Strictly necessary for the career site to function and expire at the end of thesession) - Session management cookies: user, device and session ID cookies along with timestamp cookies for timing out sessions after inactivity. -Application Security Management (ASM) cookies : to help protect web infrastructure from security attacks. -Routing cookies: to forward requests for a single session to the same server for consistency of service. □Configurable Cookies (Optionally selected by user for the career site to function) -LinkedIn cookies : to apply for open positions using users’ LinkedIn Profile.(Expiring at the end of the session) If you agree to allow configurable cookiesto be placed, please click the 'Accept Cookies'. time left to apply End Date: December 31, 2025 (30+ days left to apply) job requisition id R106573 Position Summary We are seeking a skilled Senior Machine Learning Engineer to join our team. In this role, you will design, develop, and optimize state-of-the-art deep learning-based recommendation systems.

Position Summary We are seeking a skilled Senior Machine Learning Engineer to join our team. In this role, you will design, develop, and optimize state-of-the-art deep learning-based recommendation systems.

Role and Responsibilities Design, develop, and optimize state-of-the-art deep learning-based recommendation systems.

Utilize Azure infrastructure and Databricks to implement MLOps and AI functionalities for scalable machine learning solutions.

Build domain specific recommendation models fitting to gaming and media domains.

Stay updated on the latest advancements in recommendation algorithms and machine learning techniques.

Skills and Qualifications Preferred : Ph.D in Machine Learning or Computer Science or related field.

5+ years of experience in ML, NLP, or AI engineering, ideally with hands-on LLM experience

Strong programming skills in Python, TensorFlow, or PyTorch.

Experience with data analysis, biz insight report, model training, and evaluation.

Familiarity with MLOps practices and tools, including Databricks.

experience with On-device model development

Expertise in deep learning-based recommendation systems.

Experience with Azure infrastructure and Databricks for MLOps and AI capabilities.

Proficiency in developing specialized recommendation and machine learning models within gaming and media domains.

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