Location: Mumbai,Maharashtra,India
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 applicationCollaborate with cross-functional teams, including product managers, UI/UX designers, and developers, to develop the best user experiencesConduct user research and evaluate user feedback in order to continuously finetune the modelsStay updated on industry trends, new technologies, and best practices in AI, NLP, and conversational designActively 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 organizationRequirements: Bachelor’s or Master’s degree in Computer Science, Information Technology with a focus on language processing10+ years of experience in developing NLP-based applications, with strong proficiency in PythonExperience 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) systemsExpertise in designing, implementing, and exposing RESTful APIs or microservices using FastAPIIn-depth understanding of various NLP techniques for text processing, semantic extraction, tokenization, named entity recognition, dependency parsing, and knowledge of embeddingsExceptional problem-solving skills, with the ability to break down complex technical challenges, present effective solutions, implement them effectivelyProven ability to build and lead high-performing engineering teamsExcellent communication and decision making skills
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