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GenAI NLP Data Scientist

2 months ago


Ho Chi Minh City, Ho Chi Minh, Vietnam Dikshatek Full time

Job Summary: We are seeking a highly skilled GenAI NLP Data Scientist to join our team at Dikshatek. As a key member of our organization, you will play a crucial role in driving innovation in the field of Natural Language Processing and Generative AI.

Key Responsibilities:

  • Develop and Implement AI Models: Design, develop, and implement enterprise-level generative AI models for various NLP tasks, leveraging expertise in data formats and sources.
  • Collaborate with Cross-Functional Teams: Work closely with cross-functional teams to understand and solve complex problems using generative AI, fostering a culture of collaboration and innovation.
  • Evaluate and Optimize AI Models: Continuously evaluate and optimize AI models for performance and accuracy, ensuring they meet the highest standards of quality.
  • Research and Apply AI Advancements: Stay up-to-date with the latest advancements in generative AI and apply them to NLP, driving innovation and growth within the organization.

Requirements and Qualifications:

  • Strong AI and NLP Background: Possess a strong understanding of NLP and generative AI, with experience in programming languages such as Python.
  • AI Frameworks and Libraries: Proficiency with AI frameworks and libraries, with excellent problem-solving and collaboration skills.
  • Education and Experience: Hold a Bachelor's or Master's degree in a relevant field, with experience in an NLP/GenAI role post-education.
  • Machine Learning and AI Algorithms: Proficiency with machine learning and generative AI algorithms, with experience with programming languages like Python and C++.

Additional Requirements:

  • AI Coding Test and Interviews: Participate in an AI coding test and interviews as part of the hiring process.
  • English Fluency: Possess fluent English language skills.

Company Details:

  • Headcount: 2 (remote)
  • Contract Duration: 6 months, with the possibility of extension based on performance.
  • Onboarding Time: September
  • Interview Process: AI coding test and interviews
  • Language: English
  • Budget: $40M