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Machine Learning Engineer

1 week ago

Chennai, Tamil Nadu, India Amazon Full time

About Us

At Amazon, we're committed to delivering exceptional customer experiences through innovation and excellence. Our Retail Business Services Technology team plays a critical role in driving this mission forward by developing cutting-edge machine learning solutions that power our e-commerce platform.

Job Description

We're seeking a talented Research Analyst to join our team and contribute to the development of these innovative solutions. As a key member of our team, you'll work closely with seasoned Applied Scientists to propose best-in-class machine learning solutions for business requirements.

Responsibilities

  • Drive product pilots and demonstrate innovative thinking and customer focus to steer the product roadmap.
  • Build scalable solutions in partnership with Applied Scientists, developing technical intuition to write high-quality code and develop state-of-the-art ML models.
  • Coordinate design efforts between Science and Software teams to deliver optimized solutions.
  • Ability to thrive in ambiguous, uncertain, and fast-moving ML use case developments.
  • Familiar with ML models and work independently.
  • Mentor Junior Research Analysts and contribute to RA hiring.

Requirements

  • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics).
  • 3+ years of relevant work experience in solving real-world business problems using machine learning, deep learning, data mining, and statistical algorithms.
  • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory.
  • Strong analytical thinking.
  • Ability to creatively solve business problems, innovating new approaches where required, and articulating ideas to a wide range of audiences using strong data, written, and verbal communication skills.
  • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations.

Benefits

We offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development. If you're passionate about innovation, teamwork, and delivering exceptional customer experiences, we encourage you to apply.