Hybrid Machine Learning Engineer: Elevate Financial Modelling Standards

Advance your career as a Senior Machine Learning Engineer in a conducive hybrid workspace. Showcase your machine learning prowess and data engineering expertise while ensuring compliance and innovation in finance.

This role focuses on complex SQL query optimization and leveraging MLOps tools for effective model monitoring and versioning. Your insights into data privacy will be crucial as you develop AI modelling workflows that meet the rigorous standards required in the banking or insurance domains.

Key Responsibilities:

• Optimize SQL queries for high-performance data handling
• Utilize Jenkins for automating machine learning processes
• Manage model retraining and monitoring effectively
• Ensure compliance with data privacy regulations
• Collaborate on AI modelling within financial sectors

Requirements:

• 5-10 years of experience in machine learning and data engineering
• Proficient in SQL with optimization skills
• MLOps familiarity, especially with Jenkins
• Experience in finance, insurance, or related fields
• Deep understanding of data security and compliance

Drive transformative AI solutions in finance by applying your skills in a hybrid working environment that values your input and innovation.

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