Machine Learning Engineer (BFSI) - MLEAS
NavitasPartners
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 View email address on navitasp.talentnest.com
Vacancy posted 21 hours ago
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