NLP Engineer JOBATHON
JOBATHON
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Chennai
Skills: natural language processing, Python, C, CUDA, NLTK, aws, GCP, Azure, Large Language Models, RetrievalAugmented Generation, LLMs, RAG, Transformer Architectures, fewshot learning, Prompt Engineering, PyTorch, Tensorflow, Hugging Face, Spacy, AllenNLP, Pinecone, Weaviate, Milvus, MLOps, MLflow, Kubeflow, Aws Sagemaker
About JOBATHON
Job Description
Job Title: NLP Engineer Job Location: Chennai / Coimbatore Experience: 2- 5 years Job Type: Full-Time We are seeking an exceptional Senior NLP Engineer to join our cutting-edge AI/ML team. In this role, you will leverage your deep expertise in natural language processing, large language models, and retrieval-augmented generation to develop and optimize innovative NLP applications. Responsibilities: Design, develop, and deploy state-of-the-art NLP solutions utilizing LLMs and RAG architectures. Implement and optimize vector databases for efficient retrieval and augmentation of LLM-based systems. Collaborate with cross-functional teams to identify and address complex NLP challenges. Stay at the forefront of NLP research and apply latest techniques to enhance our AI/ML applications. Mentor junior engineers and contribute to the growth and knowledge sharing within the team. Requirements: Bachelor or Masters in Computer Science, NLP, ML or related field 2-5 years of experience in developing NLP applications, (expertise in LLMs and RAG would be a plus) Strong understanding of transformer architectures, few-shot learning, and prompt engineering. Hands-on experience with NLP frameworks like Hugging Face, spaCy, NLTK, AllenNLP, etc. Proficiency in Python, PyTorch, TensorFlow and familiarity with C++/CUDA for optimization Experience with vector databases like Pinecone, Weaviate, Milvus for building RAG systems. Excellent problem-solving skills and ability to design efficient, scalable NLP pipelines. Strong communication skills and ability to collaborate in a fast-paced environment. Preferred Qualifications: Experience with deploying NLP models in production using AWS, GCP or Azure Knowledge of MLOps best practices and tools like MLflow, Kubeflow, AWS SageMaker If you are passionate about pushing the boundaries of NLP and developing game-changing AI applications, we would love to hear from you. Join our world-class team and help shape the future of intelligent systems.,