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Last updated: 13 days ago

Machine Learning Engineer (Applied AI/ML)

JPMorgan Chase & Co.Metro Manila, National Capital Region, Philippines

Build and improve machine learning models and analytics that translate data into measurable business outcomes.As a Senior Associate Data Scientist in Advanced Analytics and Machine Learning, you.Pl... Show more

Senior Systems Engineer

ScalableOSMakati Commercial Center, 00, ph

This role handles complex infrastructure incidents escalated from Tier 1, drives proactive improvements, and serves as a subject matter expert for Windows and Linux server administration, virtualiz... Show more

Systems Admin, Sr

StefaniniPasay, Philippines

Serve as the technical expert and escalation point for all Active Directory-related incidents and requests.Design, implement, and manage complex AD environments including forests, domains, trusts, ... Show more

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Machine Learning Engineer (Applied AI/ML)

Machine Learning Engineer (Applied AI/ML)

JPMorgan Chase & Co.Metro Manila, National Capital Region, Philippines
13 days ago
Job description

Build and improve machine learning models and analytics that translate data into measurable business outcomes.

Job Summary:

As a Senior Associate Data Scientist in Advanced Analytics and Machine Learning, you plan and deliver analytics projects that translate business problems into models and insights.

Job responsibilities:

  • Plan, develop, and execute analytical projects using appropriate techniques
  • Clarify problem statements by asking targeted questions and confirming scope, constraints, and success measures
  • Partner with developers to implement models and analytics deliverables and integrate enhancements into existing solutions
  • Build knowledge of business processes and modeling methods to improve solution quality and relevance
  • Evaluate and monitor performance of new and existing models using defined metrics and thresholds
  • Deliver models and analytics outputs on time and with documented assumptions and limitations
  • Improve models and automate recurring reports and procedures to reduce manual effort
  • Organize code and document model development, validation, and change history
  • Explore new data sources, techniques, and environments to enhance model accuracy and robustness
  • Communicate model results and analytical findings through clear presentations and visualization

Required qualifications, capabilities, and skills

  • Master’s degree in statistics, computer science, engineering, or a related quantitative field or bachelor’s degree plus three years of relevant experience
  • Experience with generative AI, including building agent-based workflows and retrieval-augmented generation systems
  • Working knowledge of XGBoost, random forest, and k-means algorithms
  • Advanced proficiency in data analysis and machine learning techniques
  • Intermediate programming proficiency in SQL and Python or R
  • Intermediate experience with data visualization tools (for example, Matplotlib or Tableau)
  • Experience applying supervised and unsupervised learning methods in practical use cases