Python Developer with AI Experience - Sagemaker, Gen AI

  • Herndon, VA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Dashboard
Data Analysis
Data Manipulation
Data Visualization
Evaluation
Finance
Financial Reporting
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Financial Services
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Python
SQL
Reporting
Regulatory Compliance
Prompt Engineering
Sonnet
Tableau
Teamwork
Training
Vector Databases
Workflow
Gen AI
AWS Data Services
LLM
ML
Sagemaker
KPI
Microsoft Power BI

Job Details

Python Developer with AI Experience - Sagemaker, Gen AI

Top 7 Technical Skills:

  1. Python
  2. Gen AI
  3. SQL
  4. AWS Data Services
  5. LLM
  6. ML
  7. Sagemaker

Top 2 Soft Skills:

  1. Confidence in Communication skills for Teamwork and sharing
  2. Stand alone to get work done, Independent

Job Description: Experience: 8+ years overall in Software Engineering disciplines, preferably in the financial services industry 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:
Experience in the finance or fintech industry.
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
B Bachelor s degree in Computer Science, Data Science, Finance, or a related field.

Benefits:

SES hires W2 benefitted and non-benefitted consultants. Our contract employee benefits include group medical dental vision life LT and ST disability insurance, 21 days of accrued paid time off, 401k, tuition reimbursement, performance bonuses, paid overtime, and more.

Please contact me to discuss the details of this position further.

*Please forward resume directly to for immediate consideration - rstarinieri at sesc .com

I look forward to speaking with you soon!

Robin Starinieri

Director of Recruiting

Systems Engineering Services

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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