Senior AI/ML Engineer

Role Overview

• Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency.
• Proficient in model development environments and coding best practices to enable model deployment.
• Integrates and optimizes existing data and model pipelines in a production environment.
• Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps.
• Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models.
• Proficient in SDLC processes and related tools and technologies.
• Partners with data science teams to review model ready dataset document/feature documentation.
• Develops data model design and document and reviews for completeness with data science teams.
• Partners with data science teams to understand data requirements, performs data discovery for model development.
• Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
• Drives efficiency through the use of data discovery tools.
• Engages with internal stakeholders to understand and probe business processes and develop hypotheses.
• Brings structure to requests and translates requirements into an analytic approach.
• Participates in and influences ongoing business planning and departmental prioritization activities.
• Writes model monitoring scripts as needed.
• Diagnoses root causes based on model monitoring alerts and triages issues.
• Coordinates and plans response to model monitoring alerts and resolves issues.
• Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
• Participates in special projects and performs other duties as assigned.
• Designs and implements statistical analysis frameworks and protocols to uncover business trends across functions like marketing, supply chain, and economics.
• Applies advanced data mining techniques to build scalable models for deriving actionable insights from large-scale data sets.
• Explores and integrates evolving methodologies in machine learning and big data science to enhance decision-making strategies.

Requirements

• Minimum 8 years of experience in machine learning engineering or data science roles
• Bachelor’s degree (B.E./B.Tech) in Computer Science, Data Engineering, AI/ML, or related fields, or a Master’s degree/Diploma in Computer Science or Data Science
• Strong expertise in data pipeline development, statistical modeling, SDLC, AI/ML concepts, model monitoring, and stakeholder engagement across domains

Tech Stack

• SDLC

Benefits

• Visa sponsorship