Location
Massachusetts | United States
Job description
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.
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