Artificial Intelligence Consultant

• 10+ years overall in Software Engineering disciplines, preferably in the financial services industry
• 5+ 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 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 Sage Maker 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:

• 5 years of experience in AIML roles.
• Proficiency in Python or Java.
• Hands-on experience with major AWS services, particularly Sage Maker, S3, Redshift, and Lambda.
• Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
• Excellent communication and collaboration skills.

Education:

• B Bachelor’s degree in Computer Science, Data Science, Finance, or a related field.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”