Gen AI consultant

We are seeking a talented Gen AI Consultant with expertise in Natural Language Processing (NLP) to join our team. The ideal candidate will have hands-on experience in developing and deploying AI-driven solutions, leveraging large language models (LLMs), and working with NLP frameworks. You will collaborate with cross-functional teams to design and implement AI applications that enhance business processes and drive innovation.
Key Responsibilities:

• Design, develop, and optimize NLP models and pipelines for various AI-driven applications.
  

• Work with large language models (LLMs) such as GPT, BERT, T5, and fine-tune them for specific use cases.
  

• Implement text analytics, sentiment analysis, chatbots, summarization, and information retrieval solutions.
  

• Collaborate with data scientists, ML engineers, and software developers to integrate AI models into production systems.
  

• Develop and optimize preprocessing, tokenization, and embedding techniques for text data.
  

• Stay up to date with the latest AI research and advancements in NLP and incorporate them into projects.
  

• Work with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling.
  

• Ensure compliance with data privacy and ethical AI guidelines.
  

• Conduct performance tuning, error analysis, and continuous improvements on NLP models.
  Required Skills & Qualifications:
  

  • 3-5 years of experience in NLP, machine learning, and AI model development .
    

  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy .
    

  • Experience with LLMs, prompt engineering, and fine-tuning models for domain-specific applications.
    

  • Strong understanding of text classification, named entity recognition (NER), topic modeling, and knowledge graphs .
    

  • Hands-on experience with vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.
    

  • Familiarity with MLOps, CI/CD pipelines, and cloud AI services .
    

  • Ability to work with structured and unstructured text data and handle data cleaning, preprocessing, and augmentation .
    

  • Strong problem-solving skills and the ability to translate business problems into AI solutions.
    

  • Experience with LLM APIs such as OpenAI, Cohere, or Anthropic is a plus.
    

  • Excellent communication and collaboration skills.
    Preferred Qualifications:
    

    • Experience working with multi-modal AI models (text, images, audio).
      

    • Understanding of low-code/no-code AI tools for rapid prototyping.
      

    • Knowledge of graph neural networks (GNNs) and semantic search techniques.