Applied Scientist II, Translation Services
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
As an Applied Scientist II on the Translation Services team in Hyderabad, you will design and implement scalable machine learning solutions using LLM models to address complex language translation challenges in e-commerce. This role involves collaborating with cross-functional teams, analyzing data to improve customer experiences, and staying current with state-of-the-art modeling techniques.
Responsibilities
- Apply expertise in LLM models to design, develop, and implement scalable machine learning solutions for language translation challenges in e-commerce.
- Collaborate with software engineers, data scientists, and product managers to define project requirements, establish success metrics, and deliver solutions.
- Conduct data analysis to identify patterns and provide recommendations for enhancing seller performance and customer experiences.
- Continuously explore and evaluate state-of-the-art modeling techniques to improve translation system accuracy and efficiency.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
Requirements
- 3+ years of building models for business application experience.
- PhD or Master's degree and 3+ years of experience in CS, CE, ML, or a related field.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python, or a related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Desired Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.
#Applied Science#Translation Services
Company
Amazon
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Hyderabad, India
Qualification
Master, Doctoral
Applicants
Be an early applicant