Senior Machine Learning Engineer (Sunnyvale, CA)
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Role details
Tech stack
Job description
Design, develop, and deploy machine learning models to solve complex financial problems.
Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our products.
Implement and optimize algorithms for real-time data processing and analysis.
Develop and maintain scalable data pipelines using PostgreSQL.
Utilize Python and GenAI to create innovative solutions for financial applications.
Work with React to build interactive and user-friendly interfaces.
Ensure the security and efficiency of financial transactions using Mega Cash and Cashing technologies.
Stay up-to-date with the latest advancements in machine learning and financial technologies.
Requirements
A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and contributing to the continuous improvement of our financial products. We are looking for someone who is hands on but can lead a 3-4 member team., Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Proven experience as a Machine Learning Engineer or similar role
Hands on but can lead a 3-4 member team
Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with Generative AI (GenAI) and its applications
Strong knowledge of React and front-end development
Familiarity with Mega Cash and Cashing technologies
Proficient in PostgreSQL and database management
Excellent problem-solving skills and attention to detail
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