Job Title

Experience & Expertise: Over 9 years of software development experience, including 7+ years in data engineering/ETL and 3+ years of hands-on AI/ML experience, specializing in process automation using AI/GenAI and NLP, preferably within the banking or financial services sector. Technical Skills: Programming: Proficiency in Python is essential, with additional experience in Java, Scala, or C++ being a plus. AI Solution Development: Design and implement AI-driven solutions using AWS Bedrock and SageMaker, leveraging LLMs and NLP to enhance risk reporting, enable conversational risk analysis, and automate risk management workflows. Data Processing & Engineering: Expertise in handling large structured and unstructured datasets, including data sourcing, preprocessing, tokenization, and feature extraction for AI applications. Model Optimization: Develop and optimize RAG (Retrieval-Augmented Generation) solutions by integrating LLMs with vector databases, ensuring accurate and effective outputs for domain-specific use cases. Data Architecture: Experience managing large-scale data processing pipelines, including text processing, embeddings (Word2Vec, BERT, Transformer-based models), and unstructured data handling. APIs & Microservices: Skilled in developing and integrating AI-powered APIs and microservices into banking applications. Data Storage & Management: Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and data lakes for efficiently managing large volumes of text data.