10 years

0 Lacs

Mumbai Metropolitan Region

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

processing learning extract semantics design ai recognition engineering research documentation model architecture training deployment devops programming python extraction tokenization sequence development testing maintenance

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients Salary range: Rs 4000000 - Rs 5000000 (ie INR 40-50 LPA) Min Experience: 10 years Location: Mumbai JobType: full-time We are looking for an experienced NLP Engineer with a strong foundation in language processing, machine learning, and large language models (LLMs). The ideal candidate should have a passion for building intelligent systems that understand user intent, extract semantics from unstructured text, and deliver impactful user experiences. Requirements Key Responsibilities: Design and implement NLP-based AI systems with a focus on intent recognition, contextual understanding, and effective response generation. Work closely with product, design, and engineering teams to deliver features that optimize user experience. Conduct user research and continuously refine models based on real-world usage and feedback. Stay current with advancements in NLP, LLMs, and conversational AI technologies. Develop and maintain technical documentation, including model architecture, training pipelines, and deployment practices. Collaborate with QA and DevOps teams to monitor, troubleshoot, and enhance model performance in production environments. Required Qualifications: Bachelor's or Master's degree in Computer Science or a related field with a focus on natural language processing. 10+ years of hands-on experience in NLP and applied machine learning. Strong programming skills in Python, with deep experience in NLP libraries and frameworks. Expertise in large language models such as BERT, GPT, and other state-of-the-art NLP techniques. Solid understanding of key NLP concepts including text representation, semantic extraction, tokenization, and sequence modeling. Proven experience across the full product lifecycle — from architecture and development to testing, deployment, and maintenance. Key Skills: Natural Language Processing (NLP) Machine Learning Large Language Models (LLMs) BERT, GPT Python Show more Show less

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