AI Research Engineer - NLP & Generative AI

Required Skills and Qualifications

• Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• 4+ years of experience
• Solid understanding of NLP algorithms, transformer architectures, and language model training/fine-tuning.
• Experience with open-source LLMs (e.g., LLaMA, Mistral, Falcon, etc.).
• Expertise in embedding techniques (e.g., OpenAI, HuggingFace, SentenceTransformers) and their applications in semantic search and RAG.
• Experience with vector databases such as Weaviate, Pinecone, FAISS, or Milvus.
• Hands-on experience building NLP classification models.
• Familiarity with MLOps tools (e.g., MLflow, DVC, Kubeflow) and LLMOps platforms for managing LLM pipelines.
• Excellent problem-solving skills, ability to work in a fast-paced environment.

Preferred Qualifications

• Prior experience in the customer support or conversational AI industry.
• Knowledge of deploying AI applications in cloud environments (AWS, GCP, Azure).
• Contributions to open-source projects in the NLP/LLM space.
• Experience with prompt engineering and fine-tuning for specific downstream tasks.

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India

Closing: 

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