The Job

Applied Scientist II, Worldwide Returns & Recommerce - Science

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Artificial Intelligence

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In short

Amazon is seeking an Applied Scientist II for its Worldwide Returns & Recommerce team in Hyderabad, India. This role involves designing, developing, and evaluating innovative machine learning models for NLP, LLM, and computer vision, utilizing SQL, Python, and PyTorch for data analysis and model training. The scientist will contribute to scalable solutions for complex business problems within the circular economy framework.

Responsibilities

  • Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
  • Use SQL to query and analyze the data.
  • Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models.
  • Use machine learning and analytical techniques to create scalable solutions for business problems.
  • Research and implement novel machine learning and statistical approaches.
  • Mentor interns.
  • Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

Requirements

  • 2+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of programming in Java, C++, Python or related language experience
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience with popular deep learning frameworks such as MxNet and Tensor Flow

Desired Qualifications

  • Experience building machine learning models or developing algorithms for business application
  • Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Benefits

  • Reasonable work-life balance.
  • Substantial career growth opportunities.
  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
#Machine Learning#Data Science#NLP#LLM#Computer Vision#Reverse Logistics#Circular Economy
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Company

Amazon

Job Posted

2 days ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Qualification

Master, Doctoral

Applicants

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