Machine Learning Engineer

GetJobSmart; Boston (MA); In loco; USD 100.000 - 133.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance (medical, dental, and

Vision care

401(k) or pension plan

Professional development opportunities

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Machine learning engineering

Python

Data analysis

Algorithm optimization

Feature engineering

Data structures

Formazione

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

Strumenti

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Descrizione del lavoro

Vertex National LLC is seeking a Machine Learning Engineer to join our team in Boston, MA. This full-time position offers a competitive salary range of $100,000 to $132,896.

As a Machine Learning Engineer, you will develop and implement machine learning models, conduct data analysis, and optimize algorithms to improve our financial services.

You will collaborate with a team of innovators in a dynamic workplace located in Boston, MA, contributing to the company's mission to revolutionize the financial services industry.

The position offers a competitive salary range, starting at $100,000 and reaching up to $132,896 per year, reflecting the value and expertise required for the role. In addition to the base salary, employees are entitled to comprehensive benefits, including comprehensive health insurance coverage that extends to medical, dental, and vision care. The retirement plans provide opportunities for employees to save and invest for their future, with options such as a 401(k) plan or a pension scheme, depending on the employer's policies. Professional development opportunities are also available, allowing employees to enhance their skills and knowledge, which can lead to career advancement and increased earning potential. These benefits contribute to a well-rounded compensation package that supports the overall well-being and success of the employees.

You must have a degree in Computer Science, Engineering, or a related field, along with experience in machine learning, data analysis, and algorithm optimization.

• 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 this knowledge to our projects
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
• 2+ years of experience in machine learning engineering
• Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, and scikit-learn
• Strong understanding of data structures, algorithms, and statistical concepts
• Experience with cloud platforms like AWS or GCP is a plus