Full-stack Engineer

• Design, build, and deploy scalable AI/ML applications across multiple banking domains.
• Collaborate with cross-functional teams to identify and deliver AI/ML use cases.
• Implement and manage ML pipelines using MLOps tools (e.g., Vertex AI Pipelines, Kubeflow, MLflow).
• Develop and optimize models using frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark ML.
• Apply advanced GenAI techniques, including RAG, fine-tuning, LLM evaluation, and monitoring.
• Build intelligent agents using frameworks like LangChain, CrewAI, or similar.
• Ensure robust deployment using containerization (Docker, Kubernetes) and CI/CD best practices.
• Leverage cloud platforms (preferably GCP) for scalable AI/ML solutions.
• Apply Agile, DevOps, and CI/CD best practices including automation and monitoring.
• Maintain code quality, documentation, and performance across the full development lifecycle.
• Ensure alignment with technical, data, and security standards.

Software Engineer – AI/ML

Full Stack Software Engineer

Lead Engineer 1 – Mechanical Component Design

Lead Engineer 2 – Mechanical Component Design

Technical Leader – LOCA, Containment

Lead Engineer – Mechanical Component Design