Machine Learning Engineer

Cascade Pacific Solutions; Baltimore (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

Cascade Pacific Solutions, a software development company based in Baltimore, MD, seeks a Machine Learning Engineer for a full-time position. You will design, implement, and optimize ML models, analyze data, and collaborate with cross-functional teams to integrate ML solutions into products.

The role requires a strong background in ML, Python and R, and hands-on experience with TensorFlow or PyTorch. Join a collaborative team in Baltimore with opportunities for growth and career development.

Qualifications

• Requires a bachelor's degree in a relevant field and several years of experience in machine learning and data analytics.
• Master's degree in Computer Science or Data Science or a related field is preferred.
• Proficiency in Python and R; experience with ML frameworks TensorFlow or PyTorch.

Responsibilities

• Design and implement machine learning models.
• Evaluate model performance and optimize algorithms.
• Collaborate with data scientists and software engineers to integrate ML solutions into existing systems.
• Stay updated on latest ML trends and techniques.

Skills

Machine learning

Python

R

Data analytics

Communication skills

Education

Bachelor's degree in a relevant field

Master's degree in Computer Science or Data Science

Tools

TensorFlow

PyTorch

Jira

Slack

Job description

Cascade Pacific Solutions, a software development company based in Baltimore, MD, seeks a Machine Learning Engineer for a full-time position. We specialize in data analytics and machine learning solutions for various industries.

As a Machine Learning Engineer, you will develop and implement machine learning models, conduct data analysis, and optimize algorithms. You'll also collaborate with cross-functional teams to integrate machine learning solutions into our products.

You'll work in a dynamic team environment at our office in Baltimore, MD, where you'll collaborate with a diverse group of professionals on various projects. Our workplace fosters innovation and collaboration, with opportunities for professional growth and development. You'll have the chance to work on a wide range of tasks, from software development and data analysis to project management and marketing. Our team uses a variety of tools and technologies, including Agile methodologies, Jira for project tracking, and Slack for communication. To succeed in this role, you'll need a strong background in your field, excellent communication skills, and a passion for continuous learning. Available: a attractive compensation, comprehensive benefits, and a collaborative workplace that encourages creativity and teamwork.

The position offers a attractive compensation and comprehensive benefits package, which includes health insurance, retirement plans, and professional development opportunities. Employees can participate in training programs, workshops, and certifications to enhance their skills and advance their careers. The workplace is equipped with modern tools and technology, such as computers, software, and equipment, to support the daily tasks and projects. The position requires a bachelor's degree in a relevant field, along with several years of experience in the industry. Strong communication and problem-solving skills are also essential for success in this role.

To excel in this role, you should have a Master's degree in Computer Science, Data Science, or a related field. You should also have experience with machine learning frameworks like TensorFlow or PyTorch.

Design and implement machine learning models, evaluate model performance, and optimize algorithms. Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems. Conduct research to stay updated on the latest machine learning trends and techniques. Bachelor's degree in Computer Science, Data Science, or a related field. 3+ years of experience in machine learning and data analytics. Proficiency in programming languages such as Python and R. Experience with machine learning frameworks like TensorFlow or PyTorch.