Job Title: Principal NLP Engineer

Location: Remote

Job Descriptions:

Principal NLP Engineer

Responsibilities:

• Technical Leadership:
  • Provide technical leadership in NLP projects, guiding the team in the implementation of cutting-edge solutions.
  • Stay updated on industry trends and advancements, ensuring our NLP offerings remain at the forefront of technology.
• Project Management:
  • Manage end-to-end NLP projects, collaborating with project managers, developers, and other stakeholders to ensure successful delivery within defined timelines and budgets.
  • Define project scopes, objectives, and resource requirements.
• Client Interaction:
  • Act as a technical point of contact for clients, understanding their NLP requirements, and providing expertise in crafting effective solutions.
  • Collaborate with the sales and business development teams in pre-sales activities.
• Team Development:
  • Lead and mentor a team of NLP engineers, fostering a culture of innovation, collaboration, and continuous learning.
  • Conduct training sessions to enhance the team's NLP skills.
• Solution Architecture:
  • Work closely with the architecture team to design scalable and efficient NLP solutions that meet client needs.
  • Contribute to the development of technical documentation and best practices.
• Quality Assurance:
  • Ensure the quality of NLP solutions through rigorous testing, code reviews, and the implementation of best practices.
  • Identify and address performance bottlenecks and optimize algorithms.
• Research and Development:
  • Engage in ongoing research activities, experimenting with new algorithms and methodologies to enhance our NLP capabilities.
  • Collaborate with the research community and academia to stay informed about the latest developments.

Qualifications:

• 12+ years of experience in NLP research-- and development within an IT services environment.
• Proven track record of successfully delivering NLP projects for clients.
• Strong programming skills, particularly in Python, and familiarity with relevant libraries and frameworks.
• Excellent communication and client-facing skills.

Must Have Skills:

• Ensure the quality of NLP solutions through rigorous testing, code reviews, and the implementation of best practices.

• Identify and address performance bottlenecks and optimize algorithms.
• Research and Development:
• Engage in ongoing research activities, experimenting with new algorithms and methodologies to enhance our NLP capabilities.