AI/ML Developer

Role & 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.

Preferred candidate profile

Perks and benefits