Machine Learning Engineer (Applied AI/ML)

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