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Artificial Intelligence and Machine Learning Solutions Specialist

2 weeks ago

Anantapur, Andhra Pradesh, India beBeeNlpEngineer Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Description

We are seeking an experienced NLP/LLM Engineer to design and implement production-ready NLP pipelines, fine-tune open-source LLMs, and integrate LLMs into real-time products. You will work with product teams to build classification, NER, summarization, sentiment, and QA systems from data preprocessing to deployment and monitoring.

  • Design and implement NLP pipelines for classification, NER, summarization, sentiment analysis, and Q&A.
  • 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.
  • Collaborate with product, infra, and QA to embed models safely and responsibly.
Required Skills and Qualifications

You must have:

  • 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

This role offers a challenging and rewarding career opportunity in the field of NLP/LLM engineering. You will work with a talented team to develop innovative solutions that drive business growth.

Others

For Sr. Roles: In addition to the above, you should have a track record of shipping multiple production LLM/NLP systems end-to-end. Strong system design skills (latency/cost tradeoffs, multi-tenant inference) and mentoring/leadership experience and ownership of ML lifecycle (MLOps) are also required.