Machine Learning Engineer

Willow Pacific Partners; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer match

Education/training support

Job summary

Willow Pacific Partners in Las Vegas, NV is seeking a Machine Learning Engineer to design, train, and deploy ML models for our fintech products. You will collaborate with data scientists, software engineers, and product managers to deliver production-ready solutions and optimize performance.

The role requires a Master’s in a related field, 3+ years of ML/AI experience, and proficiency in Python, TensorFlow, and PyTorch.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in machine learning and AI development.
• Proficiency in Python, TensorFlow, and PyTorch; production ML deployments.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Design and maintain ML pipelines, ensuring data quality and model performance.
• Conduct extensive data analysis to identify trends and insights.
• Stay up-to-date with the latest ML and AI technologies.

Skills

Collaboration

Problem solving

Communication

Education

Master's degree in Computer Science, Electrical Engineering, or related field

Tools

Python

TensorFlow

PyTorch

scikit-learn

R

Java

Job description

Willow Pacific Partners, a prominent fintech company, seeks a Machine Learning Engineer to join our team in Las Vegas, NV. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models tailored to our financial products. This involves designing, training, and evaluating models to ensure they meet our specific requirements and deliver accurate predictions. You will also optimize algorithms to enhance performance and efficiency, ensuring that the models run smoothly and effectively. Additionally, you will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate machine learning solutions into our financial products. This collaboration will involve understanding the needs of different teams, aligning the machine learning solutions with business goals, and ensuring seamless integration into existing systems. Your role will be crucial in bridging the gap between advanced machine learning techniques and practical financial applications, ultimately driving innovation and improving the user experience.

You will be part of a dedicated team of experts in a dynamic workplace in Las Vegas, NV. Our office environment fosters innovation and collaboration, providing the ideal setting for your professional growth.

The salary for this position is negotiable, reflecting our commitment to attracting and retaining top talent.

• We offer a comprehensive benefits package that includes health insurance, which covers a wide range of medical services and prescriptions, ensuring the well-being of our employees.
• Additionally, we provide retirement plans, such as a 401(k) with a generous employer match, to help employees save for their future.
• For professional development, we offer opportunities for employees to pursue further education and certifications, as well as access to training programs and workshops.
• These benefits are designed to support the overall health, financial security, and career growth of our employees.

To excel in this role, you must have a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong background in machine learning and data science. Experience with Python, TensorFlow, and PyTorch is essential. Additionally, you should have a proven track record of developing and deploying machine learning models in production environments.

Join our team and contribute to our mission of transforming financial services through innovative technology.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Design and maintain machine learning pipelines, ensuring data quality and model performance.
• Conduct extensive data analysis to identify trends, patterns, and insights.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in machine learning and AI development.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical principles and data analysis techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.