Job Title: Senior Python Developer Machine Learning (Banking Domain)
Location: Toronto ON- 4 days onsite in a week
Job Type: Full-Time
Required Qualifications
- Bachelors or Masters degree in Computer Science Data Science Engineering or related field
- 5 years of Python development experience
- 2 years of hands-on Machine Learning experience
- Experience working in banking or financial services environment
- Strong understanding of:
- Supervised and unsupervised learning
- Model evaluation techniques
- Statistical analysis
- Data preprocessing techniques
- Experience deploying ML models into production environments
Technical Skills
Programming & Frameworks
- Advanced Python (OOP multi-threading performance optimization)
- ML libraries: Scikit-learn TensorFlow PyTorch
- Data libraries: Pandas NumPy
- API development (FastAPI / Flask)
Data & Infrastructure
- SQL and relational databases
- Experience with big data tools (Spark is a plus)
- Cloud platforms (AWS Azure or GCP)
- Docker / Kubernetes (preferred)
- CI/CD and DevOps practices
Preferred Qualifications
- Experience with MLOps practices and model lifecycle management
- Knowledge of credit scoring models or fraud analytics
- Experience in real-time decisioning systems
- Familiarity with capital markets or trading systems (plus)
- Agile/Scrum experience
Thanks
Sanjay Kumar
Job Title: Senior Python Developer Machine Learning (Banking Domain) Location: Toronto ON- 4 days onsite in a week Job Type: Full-Time Required Qualifications Bachelors or Masters degree in Computer Science Data Science Engineering or related field 5 years of Python development experience 2 ...
Job Title: Senior Python Developer Machine Learning (Banking Domain)
Location: Toronto ON- 4 days onsite in a week
Job Type: Full-Time
Required Qualifications
- Bachelors or Masters degree in Computer Science Data Science Engineering or related field
- 5 years of Python development experience
- 2 years of hands-on Machine Learning experience
- Experience working in banking or financial services environment
- Strong understanding of:
- Supervised and unsupervised learning
- Model evaluation techniques
- Statistical analysis
- Data preprocessing techniques
- Experience deploying ML models into production environments
Technical Skills
Programming & Frameworks
- Advanced Python (OOP multi-threading performance optimization)
- ML libraries: Scikit-learn TensorFlow PyTorch
- Data libraries: Pandas NumPy
- API development (FastAPI / Flask)
Data & Infrastructure
- SQL and relational databases
- Experience with big data tools (Spark is a plus)
- Cloud platforms (AWS Azure or GCP)
- Docker / Kubernetes (preferred)
- CI/CD and DevOps practices
Preferred Qualifications
- Experience with MLOps practices and model lifecycle management
- Knowledge of credit scoring models or fraud analytics
- Experience in real-time decisioning systems
- Familiarity with capital markets or trading systems (plus)
- Agile/Scrum experience
Thanks
Sanjay Kumar
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