Machine Learning Engineer (BFSI) - MLEBAS

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 resumes@navitassols.com