MulticoreWare - NLP Engineer (2-8 yrs)

Job Title : NLP Engineer

Job Location : Chennai / Coimbatore

Experience : 2+ years

Job Type : Full-Time

Job Description :

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 master's in computer science, NLP, ML or related field

- 2+ 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.