At SiftHub, we are on a mission to make the life of sales and solutions teams more efficient and help them to focus on selling. SiftHub AI Sales Engineer empowers sales and pre-sales teams to improve win rates and close deals faster. SiftHub is an AI platform that acts as a central hub to collate and sift through all your content scattered across multiple repositories and tools such as Drive, Sharepoint, Confluence, CRM, Slack, product knowledge base. 

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:

• Lead the design, development, testing and deployment of advanced NLP techniques & models, ensuring high performance, accuracy, and scalability across the application

• 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

• 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 within the organization

Requirements: 

• Bachelor’s or Master’s degree in Computer Science, Information Technology with a focus on language processing

• 10+ years of experience in developing NLP-based applications, with strong proficiency in Python

• Experience in machine learning frameworks, libraries such as TensorFlow, PyTorch, Hugging Face's Transformers, or SpaCy and large language models (LLMs) such as Claude, GPT, and practical knowledge of retrieval-augmented generation (RAG) systems

• Expertise in designing, implementing, and exposing RESTful APIs or microservices using FastAPI

• In-depth understanding of various NLP techniques for text processing, semantic extraction, tokenization, named entity recognition, dependency parsing, and knowledge of embeddings

• Exceptional problem-solving skills, with the ability to break down complex technical challenges, present effective solutions, implement them effectively

• Proven ability to build and lead high-performing engineering teams

• Excellent communication and decision making skills