Dice is the leading career destination for tech experts at every stage of their careers. Our client, Care IT Services Inc, is seeking the following. Apply via Dice today! Experience: 8+ years overall in Software Engineering disciplines, preferably in the contracts and legal domain. 2-3 years of experience in AI/ML engineering roles Strong programming skills in Python, SQL and experience with AWS. Key Responsibilities: Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools. Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports. Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation. Use AWS SageMaker to build, train, and deploy machine learning and GenAI models. Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives. Monitor model performance and iterate on prompt and model design to improve accuracy and relevance. Document workflows, models, and prompt strategies for internal knowledge sharing and compliance. Required Qualifications: 2 3 years of experience in data analysis or machine learning roles. Proficiency in Python and SQL for data manipulation and analysis. Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda. Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques. Strong understanding of financial data, KPIs, and reporting standards. Excellent communication and collaboration skills. Preferred Qualifications: Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Understanding of MLOps practices and model lifecycle management. Education: Bachelor's Degree in Computer Science