Senior ML Engineer - Relevance & ML Ops Specialist

Testing Site - JPMC; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Testing Site - JPMC is seeking a Senior Machine Learning Engineer to advance our products using large-scale data and ML techniques. You will develop scalable features, manage ML Ops, and tackle ranking and relevance challenges across multiple lines of business.

The role emphasizes building production-ready ML solutions, mentoring peers, and collaborating with stakeholders to drive impact across platforms.

Qualifications

• Master's degree or PhD with relevant experience in ML/AI fields.
• Strong knowledge of ML algorithms, data structures, and software engineering practices.
• Experience with large-scale data processing and ML model deployment.

Responsibilities

• Oversee analysis of complex datasets to inform decisions on real-world applications.
• Lead development and implementation of models and algorithms to enhance systems and products.
• Supervise data analysis activities and ensure effective visualizations are provided.
• Ensure writing and deployment of production-grade software.
• Identify risks in ML solutions and strategize mitigations.
• Communicate complex ML topics clearly to senior management and stakeholders.
• Foster cross-functional collaboration to uphold standards.

Skills

Machine learning

Graph learning

Recommendation systems

Network analysis

Natural language processing

Reinforcement learning

MLOps

Gen AI

LLMs

Education

Master's degree in Computer Science / Machine Learning

PhD in Computer Science / Machine Learning

Tools

AWS

GCP

Azure

Job description

Testing Site - JPMC is seeking a Senior Machine Learning Engineer to advance our products using large-scale data and ML techniques. You will develop scalable features, manage ML Ops, and tackle ranking and relevance challenges across multiple lines of business.

The role emphasizes building production-ready ML solutions, mentoring peers, and collaborating with stakeholders to drive impact across platforms.