Senior Machine Learning Engineer
September 4
Description
• This Senior Machine Learning Engineer role offers a unique opportunity to work on cutting-edge machine learning applications that directly impact millions of users worldwide. • You’ll tackle complex problems, uncover valuable insights from vast datasets, and shape the future of personalized recommendations. • By collaborating with a diverse team of experts, you'll not only refine your technical skills but also see the tangible business impact of your work. • If you're passionate about innovation, large-scale system design, and driving meaningful change, this role provides an exciting platform to advance your career in a dynamic and influential environment. • Work/Project Scope: • Analyze millions of structured and unstructured data points to identify patterns and insights in user behavior. • Build and implement features to enhance model performance, including the development of efficient and reusable models and systems for various machine learning applications (both classical and deep learning models). • Optimize and contribute to the performance of recommendation systems by building machine learning models that improve understanding of user preferences, intent, and context to deliver accurate, relevant, and personalized recommendations. • Collaborate closely with business, analytics, and engineering teams to communicate data findings through statistics, charts, and formal presentations, ultimately proposing recommendations to maximize business impact.
Requirements
• Proficiency in Python. • Strong SQL skills. • Experience with Pytorch, TensorFlow, or another deep learning library. • Familiarity with Spark or other big data tools. • Prior experience in scaling large-scale production systems to serve millions of users.
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