Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries
Requirements
Candidates must hold an MS degree in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or a related field, and possess a minimum of 5 years of relevant work experience with at least 2 years dedicated to deploying and maintaining AI/ML projects. Advanced programming skills in languages like Python are required, along with proficiency in using AWS machine learning services such as SageMaker for model pipeline development and deployment. Experience with AWS CloudFormation for infrastructure as code and data processing technologies like Apache Spark, AWS Glue, and Hadoop is also necessary.
Responsibilities
The Machine Learning Engineer will lead engineering design and deployment of complex data and model pipelines, establishing best practices and driving innovation in end-to-end deployment and automation. They will integrate and optimize existing pipelines, identify and diagnose data inconsistencies, and apply expert knowledge of experimental methodologies and machine learning concepts to create self-running AI systems. The role involves partnering with data science teams to understand data requirements, performing data discovery, and driving best practices in data discovery techniques. Additionally, the engineer will write model monitoring scripts, diagnose root causes of model monitoring alerts, and coordinate responses to these alerts. They will also demonstrate strategic thinking in cloud-based architectures and platforms to deliver optimized ML models at scale, drive engineering innovation, and serve as a subject matter expert for cross-functional teams and strategic initiatives.
Skills
Data Pipelines
Model Deployment
SDLC
Batch Data Processing
Real-time Data Processing
Data Integration
Data Quality Analysis
Statistics
Optimization
Probability Theory
Machine Learning
Experimentation
Model Monitoring
Cloud Architectures
GenAI
Data Discovery
Data Science
AI Systems
Model Development
Monitoring Scripts
Root Cause Analysis
Issue Triage
Collaboration
Strategic Thinking
Vanguard
Client-owned investment management firm offering low-cost funds
About Vanguard
Vanguard provides financial services with a focus on investment management. The company offers a variety of products, including mutual funds, exchange-traded funds (ETFs), individual retirement accounts (IRAs), and 401k rollovers, aimed at individual investors, financial advisors, and institutions. Vanguard's unique ownership structure means it is owned by its funds, which are in turn owned by the clients, allowing it to prioritize the needs of its investors over external shareholders. This model enables Vanguard to offer low-cost investment options, as it primarily earns revenue through management fees that are generally lower than industry standards. Additionally, Vanguard provides personalized investment advisory services, charging fees based on the assets managed. The company's goal is to help clients grow their wealth and achieve their financial objectives through effective investment strategies, while maintaining a competitive performance track record.
Kline Township, PennsylvaniaHeadquarters
1975Year Founded
SECONDARYCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees