
AI Solutions Architect
2 days ago
Job Title: AI Solutions Architect
">As an AI Solutions Architect, you will be responsible for designing and implementing production-ready NLP pipelines. You will work on fine-tuning open-source LLMs and integrating them into real-time applications.
">- Design and implement NLP pipelines for classification, named entity recognition, summarization, sentiment analysis, and question answering.
- 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 into real-time applications and microservices.
- Develop prompt strategies and evaluate prompt robustness; implement few/zero-shot approaches where relevant.
Required Skills & Experience:
">- 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.
Why this role is key to our organization's success:
">This position plays a vital role in enhancing our organization's capabilities through the strategic implementation of cutting-edge AI solutions. Your expertise in NLP and machine learning will drive innovation and efficiency across our products and services.
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