AI Engineer II

Assist in designing, developing, and deploying AI/ML models, including data preprocessing, model training, validation, and monitoring.,Work closely with senior engineers and business stakeholders to integrate AI capabilities into existing systems.,Contribute to proof-of-concept projects and rapid prototyping for emerging technologies.,Support documentation, testing, and performance tuning of AI models to ensure scalability, robustness, and compliance.,Participate in team discussions to refine AI strategies.,Stay updated on industry trends, share insights, and propose improvements to AI capabilities.

Bachelor's Degree (or higher) in Computer Science, Engineering, Data Science, or related Quantitative field,1 – 5 years of coding in Python with libraries such as Pandas or NumPy.,Familiarity with building and training machine learning models (e.g., regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch.,Exposure to natural language processing (NLP) concepts (text preprocessing, sentiment analysis, basic chatbot implementations).,Understanding of image processing techniques (e.g., OpenCV) or document parsing (e.g., OCR tools).,Awareness of cloud platforms (AWS, Azure, GCP) and their AI/ML services.,Nice-to-have: Advanced degree in Computer Science, Engineering, Data Science, or related Quantitative field.,Nice-to-have: Familiarity with Blockchain, AWS SageMaker, or Azure ML.,Nice-to-have: Exposure to the Financial Industry or background in applying AI/ML for financial uses cases such as forecasting or fraud detection.

Bachelor's Degree