Join a dynamic team as an ML Engineer focusing on technology deployment to support Investment Management strategies within the finance industry. Be at the forefront of impactful solutions for various investment teams.

This role involves enabling innovative solutions across Equity, Fixed Income, Quant, and Risk Management through the application of custom ML and optimization techniques. You will have a unique position bridging AI Scientists and Analytics Enablement to drive operational model architecture.

• Implement production systems around ML Frameworks
• Collaborate with Applied AI R&D group
• Evolve MDLC practice for AI Scientists
• Deploy sophisticated models in corporate environment
• Work with Finance data and time-series data

• Strong Python & Managed Service capabilities
• Familiarity with ML Frameworks like Keras/TF and SciKit
• Experience with AWS for ModelOps and Data-Pipelining
• Undergraduate degree in Comp Sci or related field
• Passion for innovative AI development and collaboration

• Opportunity to work on high-impact Investment analytics
• Dynamic and rewarding work environment
• Front-row experience in solving complex industry challenges

This role offers a chance to operationalize custom model architecture for high-impact processes at Company. The position requires a mix of technical expertise, collaboration, and innovation in the field of quantitative finance.

We invite you to embark on this exciting opportunity to contribute to cutting-edge solutions in Investment Management. Apply now and be part of a team that leads the way in financial analytics innovation.