Senior NLP Engineer

10 Months ago • 4-4 Years • Software Development & Engineering

Job Summary

Job Description

SiftHub seeks a Senior NLP Engineer with 4+ years of experience in NLP, Python, Machine Learning frameworks, and large language models like BERT and GPT. Expertise in text representation, semantic extraction, data structures, and modeling is crucial. This role involves designing and developing AI systems, collaborating with cross-functional teams, and ensuring model effectiveness.
Must have:
  • NLP Experience
  • Python Proficiency
  • Machine Learning
  • BERT, GPT
Good to have:
  • User Research
  • Conversational Design
  • Quality Assurance
  • DevOps
Perks:
  • AI Revolution
  • Brightest Minds

Job Details

About the job

At SiftHub, we are on a mission to make the life of sales and revenue teams more efficient and help them to focus on selling. SiftHub is a sales copilot that accelerates knowledge discovery and automates content creation to improve win rates and help sales teams close deals faster.

As a member of our team, you'll be at the forefront of this exciting technology revolution, working alongside some of the brightest minds in the industry to bring our platform to life. We're looking for individuals who are passionate about AI and its potential to drive real-world impact.

Whether you're an AI expert or an aspiring one, SiftHub offers an environment that supports and challenges you, enabling your growth and success. Join us today and help us shape the future of AI for enterprises!


Responsibilities
  • Design and develop engaging, effective, and unambiguous NLP based AI systems, taking into account user intent, context, and desired results
  • Collaborate with cross-functional teams, including product managers, UX/UI designers, and developers, to develop the best user experiences
  • Conduct user research and evaluate user feedback in order to continuously fine-tune the models
  • Stay updated on industry trends, new technologies, and best practices in AI, NLP, and conversational design
  • Develop and keep up-to-date engineering documentation, including guidelines, best practices, and utilization examples
  • Contribute to the process of quality assurance and DevOps by identifying and resolving issues to ensure model effectiveness and user satisfaction

  • Requirements
    • Bachelor’s or Master’s degree in Computer Science, Information Technology with a focus on language processing
    • 4+ years of experience in NLP and relevant projects with strong proficiency in Python
    • Experience in machine learning frameworks, libraries and large language models such as BERT, GPT
    • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
    • Experience in implementing the products lifecycle - design, development, quality, deployment, maintenance
    • Excellent communication and decision making skills


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