Python Ai Developer - ZL
$64k - $90kTryApplyNow
- Python Ai Developer - ZLSESFull TimejuniorWashington, District of Columbia, USPosted Yesterday## Role OverviewSES is hiring a entry-level Python Ai Developer - ZL. This is a full-time role in Washington. Part of SES's Qa hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary ContextSalary is not disclosed in this posting. Market median for Junior-level Qa roles is $64k-$90k (based on 16 comparable listings). Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to IncludeMake sure these keywords appear in your resume to improve ATS scoringPythonSQLAWSTableauPower BIORKPIsComplianceSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description### Job DescriptionTop 5 Technical Skills:* Python* Gen AI* SQL* AWS Data Services* LLM* ML* Sagemaker* BedrockTop 3 Soft Skills:* Confidence in Communication skills for Teamwork and sharing* Stand alone to get work done, Independent* FlexibilityCompany / Project Description / Business DriverEnter Overview of client, project description and the business drivers### Job Description### Experience10+ years overall in Software Engineering disciplines, preferably in the financial services industry2-3 years of experience in AI engineering roles - ML experience in NTHStrong programming skills in Python, SQL and experience with AWS.Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQLKey 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 complianceRequired 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 QualificationsExperience 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).Bachelor s degree in Computer Science, Data Science, Finance, or a related field.## About SES
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Vacancy posted 1 day ago
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