Machine Learning Engineer

Keystone Meadows Partners; Denver (CO); Presencial; USD 108.000 - 132.000; Tempo integral

Benefícios oferecidos por esta vaga

Health benefits

Retirement plans

Professional development opportunities

Resumo da vaga

Keystone Meadows Partners in Denver, CO, is seeking a Machine Learning Engineer to design and deploy scalable ML solutions. This full-time role collaborates with data scientists and business analysts to translate requirements into robust models.

Candidates should hold a Master's in CS/ML or related field, 3-5 years of ML experience, and strong Python proficiency with TensorFlow or PyTorch. The role offers competitive pay, benefits, and opportunities for professional growth.

Qualificações

• Master's degree in Computer Science, ML or related field.
• 3-5 years of machine learning and data science experience.
• Strong programming skills in Python; experience with ML frameworks like TensorFlow or PyTorch.

Responsabilidades

• Develop and deploy machine learning models to solve business problems.
• Collaborate with data scientists and business analysts to translate requirements into technical solutions.
• Optimize existing models for performance and efficiency.

Conhecimentos

Python

TensorFlow

PyTorch

R

Formação

Master's degree

Ferramentas

TensorFlow

PyTorch

Descrição da vaga

Keystone Meadows Partners, a prominent private equity firm specializing in healthcare, seeks a skilled Machine Learning Engineer in Denver, CO. This full-time role involves developing and implementing machine learning models to address complex business challenges.

In this role, you will develop and deploy machine learning models to solve complex business problems. You will work closely with data scientists and business analysts to understand requirements and translate them into technical solutions.

You will be part of a dynamic team in a modern office environment in Denver, CO, where you will engage in a variety of tasks, including data analysis, project management, and client communication. Our workplace fosters collaboration and innovation, with opportunities for professional growth and development, utilizing tools like Microsoft Office Suite, project management software, and data analytics platforms. The office is equipped with state-of-the-art technology, comfortable furniture, and a relaxed yet productive atmosphere.

The compensation package includes a attractive compensation of $120,000 per year, plus performance bonuses. We also offer comprehensive health benefits, including medical, dental, and vision coverage, as well as retirement plans and professional development opportunities.

To excel in this role, you should have a Master's degree in Computer Science, Machine Learning, or a related field. You should have strong programming skills in Python and experience with machine learning frameworks like TensorFlow or PyTorch.

You should have a degree in Computer Science, Statistics, or a related field, along with 3-5 years of experience in machine learning and data science. Proficiency in programming languages such as Python and R is essential, as is experience with machine learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills and the ability to work in a collaborative environment are also required.

Develop and implement machine learning models to solve complex business problems, collaborate with cross-functional teams to understand business needs and translate them into machine learning solutions, and optimize existing machine learning models for improved performance and efficiency.