AI/ML Engineer- Python Programming
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with 15+ years in software engineering, 3+ years in AI/ML, and strong Python and AWS skills. Contract length is "unknown," with a pay rate of "$X/hour." Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Streamlit #REST API #REST (Representational State Transfer) #Langchain #AI (Artificial Intelligence) #SQL (Structured Query Language) #API (Application Programming Interface) #S3 (Amazon Simple Storage Service) #Anomaly Detection #Programming #Docker #Data Science #Documentation #Redshift #Compliance #EC2 #Python #AWS (Amazon Web Services) #ML (Machine Learning) #RDS (Amazon Relational Database Service) #Cloud #Lambda (AWS Lambda)
Role description
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Top Skills' Details
1. 15+ years experience working as a Python Developer/experience Architecting projects and environments within ML and AI space.
1. Expensive AWS experience - Lambda, S3, Step Functions, Glue, EC2, ECS, CloudFormation, RDS, CloudWatch, Redshift, REST API, Docker
1. GenAi experience - experience with LLMs, ability to architect a project within Ai
Experience:
• 15+ years overall in Software Engineering disciplines, preferably in the financial services industry
• 3+ years of experience in AI/ML engineering.
• Strong programming skills in Python, SQL and experience with AWS.
Key Responsibilities
• Design and implement GenAI-powered solution that support the internal audits and of financial models especially model implementation and testing
• Use AWS Bedrock to access and orchestrate foundation models (e.g., Claude, Titan) for tasks such as model documentation and test case generation, summarization, anomaly detection etc.
• Develop intelligent agents and workflows using LangChain and/or LangGraph, Bedrock Agents, or similar frameworks to support auditors and compliance teams.
• Collaborate with Internal Audit, Risk, and Data Science teams to understand model governance requirements and translate them into AI-driven solutions.
• Ensure all AI applications meet regulatory standards (e.g., SOX, Basel III, IFRS 9) and internal compliance policies.
• Monitor model performance, ensure explainability, and maintain secure and auditable AI pipelines.
Required Skills & Qualifications
• 15+ years overall in Software Engineering disciplines, preferably in the financial services industry
• 3+ years of experience in AI/ML engineering.
• Strong programming skills in Python, SQL and experience with AWS.
• Hands-on experience with AWS Bedrock, including prompt engineering and model orchestration.
• Familiarity with financial modeling, model risk management, or internal audit frameworks.
• Understanding of LLMs, explainable AI, and compliance-driven AI development.
• Experience with LangChain, Streamlit, or similar tools for building AI applications
