Senior NLP Engineer
Senior NLP Engineer
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Job Description
SiftHub is a revenue acceleration AI platform that unlocks 10x productivity for sales and solutions teams. It serves as a central hub to collate and sift through all your conversations knowledge and deal context scattered across Drive Sharepoint Confluence Gong CRM Slack Zendesk.
From last-minute meeting prep to competitive intel and RFPs to buyer Q&A our autonomous agents unblock deals so your SEs and AEs can focus on engaging with customers.
As a member of our team youll 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. Were looking for individuals who are passionate about AI and its potential to drive real-world impact.
Whether youre 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 systems taking into account user intent context and desired results
Collaborate with cross-functional teams including product managers UI/UX designers and developers to develop the best user experiences
Conduct user research and evaluate user feedback in order to continuously finetune 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
Actively participate in code reviews architecture discussions and technical debates to ensure quality
Mentor developers by providing guidance feedback and support throughout their career growth
Requirements:
Bachelors or Masters degree in Computer Science Information Technology with a focus on language processing
6 years of experience in developing NLP-based applications with strong proficiency in Python
Experience in machine learning frameworks libraries and large language models (LLMs) like BERT GPT or other transformer-based architectures and practical knowledge of retrieval-augmented generation (RAG) systems.
Expertise in designing implementing and exposing RESTful APIs or microservices using FastAPI ensuring scalable high-performance interfaces for NLP applications.
In-depth understanding of various NLP techniques for text processing semantic extraction tokenization named entity recognition dependency parsing and knowledge of embeddings (e.g. Word2Vec GloVe transformers).
Strong grasp of data structures and modeling techniques with the ability to apply these skills to enhance language models and NLP pipelines.
Experience with relevant machine learning frameworks and libraries such as TensorFlow PyTorch Hugging Faces Transformers or SpaCy for developing and fine-tuning models.
Experience in implementing the products lifecycle - design development quality deployment maintenance
Excellent communication and decision making skills
Required Experience:
Senior IC
Employment Type
Full-Time
