NavitasPartners - 627 Jobs
London, ON
Posted today
Job Details:
Full-time
Experienced
Job Title: Machine Learning Engineer (BFSI)
Position Overview:
The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting.
Key Responsibilities:
- Develop machine learning models and pipelines.
- Build feature engineering frameworks.
- Deploy production-grade ML solutions.
- Optimize model performance and scalability.
- Collaborate with data scientists and business teams.
- Implement model monitoring and governance.
Required Skills:
- Python
- Machine Learning
- Scikit-learn
- TensorFlow
- PyTorch
- Spark ML
- Feature Engineering
- Model Deployment
- SQL
Required Qualifications:
- Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field.
- 5+ years of machine learning experience.
Mandatory Industry Experience:
- Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions.
For more details reach at [email protected]
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Frequently Asked Questions
The position is Machine Learning Engineer (BFSI) based in London, ON.
You'll develop, deploy, and optimize ML solutions for fraud detection, risk analytics, customer intelligence, and financial forecasting, including feature engineering and production-grade deployments.
Required skills include Python, machine learning, Scikit-learn, TensorFlow, PyTorch, Spark ML, feature engineering, model deployment, and SQL.
A Bachelor’s or Master’s degree in Data Science, AI, Computer Science, or a related field, plus 5+ years of machine learning experience.
Yes, prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions is required.
For more details, reach [email protected].
