Build multi-agent workflows for banking and financial services.
Develop and maintain data processing and model deployment pipelines with Python.
Train and optimize neural networks, including LLMs, for risk and queries.
Collaborate with data scientists, engineers, and stakeholders to production AI apps.
Ensure AI models comply with GDPR/CCPA and banking regulations.
Conduct experiments, evaluate models, and iterate for accuracy and efficiency.

🎯 Requirements

3–12 years of AI/ML engineering experience focused on software development and deployment.
Strong Python software engineering with TensorFlow, PyTorch, scikit-learn, Huggingface.
NLP experience with text classification or entity recognition.
Hands-on training and fine-tuning of neural networks for performance and scalability.
Experience with LLMs and agentic solutions using LangChain, LangGraph or ADK.
Familiarity with AWS/Azure/Google Cloud for deployment and data management.

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