Job Description :

Job Description : 

  • Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc.).
  • Expertise in NLP libraries (SpaCy, NLTK, Hugging Face Transformers, etc.).
  • Experience in training and fine-tuning LLMs like GPT, BERT, T5, LLaMA, Mistral, etc.
  • Proficiency in TensorFlow and Keras (or PyTorch).
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate) and embeddings (OpenAI, BGE, Sentence Transformers).
  • Experience with ML Ops tools (MLflow, TensorFlow Serving, Kubernetes, Docker).
  • Strong understanding of attention mechanisms, transformers, and sequence-to-sequence models.
  • Hands-on experience in deploying models to production (cloud-based or on-premise).
  • Knowledge of retrieval-augmented generation (RAG), knowledge graphs, and reinforcement learning from human feedback (RLHF) is a plus.
  • Strong analytical and problem-solving skills with a research-oriented mindset.
    We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
             

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