Machine Learning Engineer

Vertex Global Group; Milwaukee (WI); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Job summary

Vertex Global Group in Milwaukee, WI is seeking a Machine Learning Engineer for a full-time role. You will design and develop ML models, train and evaluate them, and deploy them into production while collaborating with cross-functional teams to meet business needs.

Strong background in ML, Python, and frameworks such as TensorFlow or PyTorch is required, along with solid statistical and data analysis skills. Join a growth-focused team in a dynamic city-center environment.

Qualifications

• Strong machine learning background with model development and deployment experience.
• Proficiency in Python and frameworks like TensorFlow or PyTorch.
• Solid understanding of statistical methods and data analysis techniques.
• Collaborate with cross-functional teams to translate business needs into technical solutions.

Responsibilities

• Designing and developing machine learning models.
• Training and evaluating models.
• Deploying models into production environments.
• Collaborating with cross-functional teams to understand business needs and develop technical solutions.

Skills

Machine Learning

Python

Data Analysis

Statistics

Model Deployment

Tools

TensorFlow

PyTorch

Production Deployment

Job description

Vertex Global Group, a prominent financial services company, is hiring a Machine Learning Engineer in Milwaukee, WI. This full-time role involves creating and implementing machine learning solutions to foster business growth and innovation.

Your tasks include designing and developing machine learning models, training and evaluating models, and deploying them into production. You'll also collaborate with cross-functional teams to understand business needs and develop technical solutions.

Join a dedicated team in Milwaukee, WI, in a collaborative and innovative workplace located in the city center, offering a vibrant and dynamic environment.

During the interview, the candidate discusses the salary with the hiring manager, who provides a range based on the candidate's experience and the company's budget. The hiring manager also mentions that the company offers a comprehensive benefits package, which includes health insurance, retirement plans, and paid time off. The candidate is informed that the benefits are subject to eligibility requirements and may vary depending on the candidate's role and location. The hiring manager emphasizes that the company is committed to supporting its employees' well-being and professional development, and encourages the candidate to ask any questions about the benefits package. The interview concludes with the candidate expressing interest in the position and the hiring manager extending a job offer, contingent upon the candidate's acceptance of the salary and benefits package.

You need a strong machine learning background with experience in model development and deployment. Proficiency in Python and frameworks like TensorFlow or PyTorch is required, along with a solid understanding of statistical methods and data analysis techniques.

• Designing and developing machine learning models
• training and evaluating models
• deploying models into production environments
• collaborating with cross-functional teamsStrong background in machine learning
• experience in developing and deploying models
• proficiency in Python
• experience with TensorFlow or PyTorch
• solid understanding of statistical methods and data analysis techniques