What are the responsibilities and job description for the Python Developer with Strong AWS and AI/ML - Onsite Interview position at FUSTIS LLC?
Job Role: Software Engineer (Python, AWS & AI/ML)
Mode Of Interview: Onsite Interview required
Pay Rate: $75/hr. on 1099 or $60/hr. on W2
Location: Reston, VA (Hybrid Onsite)
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.
Salary : $60 - $1,099
