AI Model Specialist

1 week ago

Vellore, Tamil Nadu, India beBeeEngineer Full time US$ 1,00,000 - US$ 1,50,000
Job Description

We're seeking an experienced NLP/LLM Engineer to join our team. The ideal candidate will have a strong background in designing and implementing NLP pipelines, fine-tuning open-source LLMs, and integrating them into real-time applications.

The successful candidate will work closely with product teams to build classification, NER, summarization, sentiment analysis, and QA systems from data preprocessing to deployment and monitoring.

Responsibilities:
  • Design and implement NLP pipelines for classification, NER, summarization, sentiment analysis, and Q&A (RAG).
  • Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers.
  • Fine-tune and optimize open-source models (BERT, T5, GPT-style) using Hugging Face Transformers.
  • Integrate LLM APIs (OpenAI, Anthropic/Claude, Cohere, Hugging Face) into real-time applications and microservices.
  • Develop prompt strategies and evaluate prompt robustness; implement few/zero-shot approaches where relevant.
  • Build retrieval + generation (RAG) pipelines with vector DBs (FAISS, Weaviate, Pinecone).
  • Deploy model endpoints (Flask/FastAPI/Streamlit), containerize with Docker, and collaborate on cloud deployment.
  • Monitor model performance, data drift, and user feedback; iterate based on metrics and qualitative signals.
Required Skills and Qualifications
  • Strong Python skills and experience with SpaCy, Transformers (Hugging Face), and NLTK.
  • Hands-on experience fine-tuning/training Transformer models (BERT, T5, GPT variants).
  • Experience integrating LLM APIs and working with prompt engineering.
  • Familiarity with embeddings, attention, tokenization, and vector similarity (cosine).
  • Experience with vector DBs such as FAISS, Weaviate, or Pinecone.
  • Comfortable with Docker, Git, and REST API development (Flask/FastAPI).
  • Practical knowledge of evaluation metrics (BLEU, ROUGE, perplexity, cosine similarity).
Benefits

As a member of our team, you'll enjoy a collaborative and dynamic work environment, opportunities for professional growth and development, and a competitive compensation package.

Others

We're committed to creating a diverse and inclusive workplace that reflects the communities we serve. If you're passionate about AI and Machine Learning, and are looking for a challenging and rewarding role, please submit your application.

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