Applied Scientist II, Language Translation ML

Amazon; Asti; In loco; EUR 18.000 - 29.000; Tempo pieno

Descrizione del lavoro

Amazon Translations Services seeks an Applied Scientist II to design scalable ML solutions for translating billions of words across 130+ locales. Based in Hyderabad, you will work with engineers, data scientists, and product managers to deliver meaningful improvements with minimal human intervention.

The role emphasizes advanced modeling, data-driven improvements, and clear communication of complex ideas to diverse stakeholders, helping Amazon's global customers experience consistent

Competenze

• 3+ years of building models for business applications.
• PhD, or Master’s degree with 3+ years of CS/CE/ML or related field experience.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing.

Mansioni

• Apply your expertise in LLM models to design, develop, and implement scalable ML solutions for translation.
• Collaborate with software engineers, data scientists, and product managers to define requirements and metrics.
• Conduct data analysis to gain insights and improve translation quality and speed across marketplaces.
• Evaluate state-of-the-art modeling techniques to improve accuracy and efficiency of translation systems.
• Communicate complex concepts to technical and non-technical stakeholders with clear guidance.

Descrizione del lavoro

Amazon Translations Services seeks an Applied Scientist II to design scalable ML solutions for translating billions of words across 130+ locales. Based in Hyderabad, you will work with engineers, data scientists, and product managers to deliver meaningful improvements with minimal human intervention.

The role emphasizes advanced modeling, data-driven improvements, and clear communication of complex ideas to diverse stakeholders, helping Amazon's global customers experience consistent