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Responsibilities :
- 3 years of experience in AI / ML, NLP, or Conversational AI development, preferably in financial domains.
- Proficiency in LLM architectures (GPT, Llama, Claude, etc.) and fine-tuning techniques.
- Strong background in Python, TensorFlow, PyTorch, Hugging Face, or similar AI frameworks.
- Experience working with financial datasets, regulatory reporting, or risk analytics.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) for AI model deployment.
- Knowledge of financial domain-specific NLP techniques (e.g., entity recognition, sentiment analysis, text summarization).
- Experience with vector databases, embeddings, and RAG (Retrieval-Augmented Generation) frameworks is a plus.
- Understanding of data security, compliance (e.g., SOX, GDPR), and model interpretability in financial AI applications.
- Prior experience in financial automation, accounting AI tools, or fintech applications.
- Familiarity with LLM Ops, model monitoring, and bias mitigation in AI models.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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