Senior Machine Learning Engineer

24 hours ago

Gurgaon, Haryana, India myGwork Full time
Company Overview:
Amazon is an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. As a company, we strive to deliver exceptional customer experiences through our innovative solutions.

Job Summary:
We are seeking a highly skilled Senior Machine Learning Engineer to join our Core Transportation Technology team. The ideal candidate will have a strong background in machine learning and experience with building models that drive business growth. In this role, you will work on multiple challenging machine learning problems spread across various business domains, including transportation cost auditing and delivery delay prediction. Your primary objective will be to design and develop scalable and efficient machine learning models that optimize shipping costs and improve buyer experience.

About the Role:
This is a full-time position based in [insert location]. You will be working as part of a diverse data science and engineering team, collaborating with Applied Scientists, Software Development Engineers, and Business Intelligence Engineers. Your contributions will directly impact our customers' satisfaction and contribute to the success of Amazon's e-commerce platform. We offer a competitive salary of $140,000 per year, commensurate with your level of experience.

Responsibilities:
  • Design, develop, and deploy machine learning models that optimize shipping costs and predict delivery delays.
  • Collaborate with cross-functional teams to understand business needs and requirements.
  • Analyze data to identify opportunities for process improvements and implement changes.
  • Stay up-to-date with industry trends and advancements in machine learning techniques.
  • Partner with other teams to ensure seamless integration of machine learning models into production services.

Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
  • 3-5 years of hands-on experience building ML models and deploying them to production.
  • Strong understanding of statistical models and their applications in business settings.
  • Proficiency in Python, R, or MATLAB, and experience with deep learning frameworks like TensorFlow or PyTorch.
  • Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-experts.

Benefits:
  • A comprehensive benefits package, including medical, dental, and vision coverage.
  • A generous 401(k) matching program.
  • Access to cutting-edge technology and resources.
  • Opportunities for professional growth and development.
  • A supportive and inclusive work environment.

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