Artificial Intelligence Consultant

Qualifications

• 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
• 5 years of experience in AIML roles
• Proficiency in Python or Java
• Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda
• Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques
• Excellent communication and collaboration skills
• B Bachelor’s degree in Computer Science, Data Science, Finance, or a related field

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 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

Full Description

Title: AIML Engineer

Location: Washington, DC (Hybrid)

Duration: 12 months

Interview: Video

Experience:

• 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 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:

• 5 years of experience in AIML roles.

• Proficiency in Python or Java.

• Hands-on experience with major AWS services, particularly SageMaker, 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.”