What are the responsibilities and job description for the Python Developer position at Secretaria de Serviços Prefeitura de São Paulo?
Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area.
Top 5 Technical Skills
Job Description:
10 years overall in Software Engineering disciplines, preferably in the financial services industry
2-3 years of experience in AI engineering roles - ML experience in NTH
Strong programming skills in Python, SQL and experience with AWS.
Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL
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).
Bachelor s degree in Computer Science, Data Science, Finance, or a related field
Jake Lutman
Technical Recruiter
Systems Engineering Services
Top 5 Technical Skills
- Python
- Gen AI
- SQL
- AWS Data Services
- LLM
- ML
- Sagemaker
- Bedrock
- Confidence in Communication skills for Teamwork and sharing
- Stand alone to get work done, Independent
- Flexibility
Job Description:
10 years overall in Software Engineering disciplines, preferably in the financial services industry
2-3 years of experience in AI engineering roles - ML experience in NTH
Strong programming skills in Python, SQL and experience with AWS.
Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL
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).
Bachelor s degree in Computer Science, Data Science, Finance, or a related field
Jake Lutman
Technical Recruiter
Systems Engineering Services