Position: Python Developer – Gen AI & AI/ML
Location: Mississauga, ON (Hybrid)
Employment Type: Full-Time
Job Summary:
We are looking for an experienced Python Developer to design and implement scalable applications and AI/ML solutions within the Technology team. The role involves working with structured and unstructured data, developing data processing and predictive solutions, and deploying production-grade systems for complex business problems, with a focus on credit risk and financial data. The ideal candidate should have strong Python development skills and hands-on experience with ML/LLMs, Gen AI, Agent Development Kit (ADK), MCP, and REST APIs, along with an interest in adopting emerging AI technologies.
Responsibilities:
- Architect, design, and develop robust, scalable Python-based applications and REST APIs.
- Build data extraction, cleaning, analysis, and ML/LLM solutions for structured and unstructured data.
- Develop and deploy predictive, prescriptive, and Gen AI solutions in production.
- Design AI agents using ADK, MCP, RAG, and related frameworks.
- Work closely with technology and business teams to solve complex problems, particularly in financial and credit risk domains.
- Follow best practices for coding, testing, debugging, deployment, and system design.
- Implement unit testing and TDD to ensure quality and maintainability.
- Work with Linux/shell scripting, Git, and Docker for development and deployment.
- Ensure solutions align with architecture, security, data privacy, AI compliance, and responsible AI standards.
Require Skills:
- 6+ years of experience developing scalable and reliable software/ML systems.
- Strong proficiency in Python 3.12+ and REST API development.
- Hands-on experience with Fast API; familiarity with Dynaconf.
- Strong knowledge of AI/ML, LLMs, and Gen AI.
- Experience with ADK, MCP, RAG, or AI agent development.
- Good understanding of model deployment, monitoring, and containerization (Docker).
- Strong problem-solving, communication, and teamwork skills.
Good to Have:
- Experience with Gemini LLM and NLP.
- Banking, financial services, or credit risk management experience.
- Knowledge of AI governance, compliance, and responsible AI practices.
- Experience with TDD and production-grade ML/AI systems.