Python Developer - AI, AWS, Sagemaker - ZL
Job in
Reston, Fairfax County, Virginia, 22090, USA
Listed on 2026-06-21
Listing for:
TryApplyNow
Full Time
position Listed on 2026-06-21
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Role Overview SES is hiring a entry-level Python Developer - AI, AWS, Sagemaker - ZL. This is a full-time hybrid role, based in Reston. Part of SES's Qa hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Junior-level Qa roles is $100k-$135k (based on 63 comparable listings).
Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring
PythonSQLAWSBenefits
ComplianceAIDeveloper Type Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score##
Job Description Python/AI Developer Type: W2 With Benefits - No C2C
Location:
Hybrid 2-3 days onsite in Reston, VA Technical
Skills:
* Python* Gen AI
* SQL* AWS Data Services
* LLM* ML
* Sagemaker
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 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
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