Data Engineer

Required Skills & Experience
• 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.

Nice to Have Skills & Experience

FinTech experience

Job Description

Insight Global is looking for a Data Engineer to join a Fortune 500 FinTech company on-site in San Jose, CA. The ideal candidate will have a strong background in AI/ML, NLP, or Conversational AI development, preferably within financial domains. This role involves managing a data platform that handles a large volume of financial data, collaborating with internal engineers to identify AI use cases, and assisting with open issues. You will be responsible for enabling the use of large language models (LLMs) internally, working with AI models to implement these use cases, and efficiently querying data to address gaps in financial data.

Pay: $60-85/hr