Financial ML Engineer - Data-Driven Modeling & Scale

GetJobSmart; Boston (MA); Presencial; USD 100 000 - 133 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance (medical, dental, and

Vision care

401(k) or pension plan

Professional development opportunities

Resumo da oferta

Vertex National LLC in Boston, MA is seeking a Machine Learning Engineer to join our team. The role focuses on developing and implementing ML models for financial services, with collaboration across cross-functional teams and emphasis on data analysis and optimization.

The ideal candidate has a degree in computer science or related field, 2+ years of ML experience, and proficiency in Python and ML libraries.

Qualificações

• Degree in CS, Math, Stats, or related field.
• 2+ years of experience in machine learning engineering.
• Proficiency in Python and ML libraries TensorFlow, PyTorch and scikit-learn.
• Experience with data analysis, feature engineering, and algorithm optimization.
• Experience with cloud platforms like AWS or GCP is a plus.

Responsabilidades

• Design and implement machine learning models to solve complex financial problems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize and scale machine learning systems to handle large-scale data.
• Conduct thorough data analysis and feature engineering to improve model performance.
• Stay up-to-date with the latest advancements in machine learning and AI and apply them to projects.

Conhecimentos

Machine learning engineering

Python

Data analysis

Algorithm optimization

Feature engineering

Data structures

Formação académica

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field

Ferramentas

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Descrição da oferta de emprego

Vertex National LLC in Boston, MA is seeking a Machine Learning Engineer to join our team. The role focuses on developing and implementing ML models for financial services, with collaboration across cross-functional teams and emphasis on data analysis and optimization.

The ideal candidate has a degree in computer science or related field, 2+ years of ML experience, and proficiency in Python and ML libraries.