Machine Learning Engineer

Meridian Advanced Solutions; Portland (OR); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Job summary

Meridian Advanced Solutions, a Portland, OR-based technology company, is seeking a Machine Learning Engineer to build and deploy machine learning solutions. You will design, train, evaluate, and implement models, then collaborate with cross-functional teams to meet business goals.

The role emphasizes Python proficiency and experience with TensorFlow or PyTorch, with production deployment as a core responsibility. Portland office-based environment offers diverse projects and growth opportunities.

Qualifications

• Strong background in machine learning with relevant degree or experience.
• Proficiency in Python and ML frameworks.
• Experience with data preprocessing, feature engineering, and deployment.

Responsibilities

• Develop and implement machine learning models.
• Train and evaluate models to ensure accuracy and robustness.
• Deploy models into production within a scalable framework.
• Collaborate with cross-functional teams to translate business needs into technical solutions.

Skills

Python

Machine learning

Data preprocessing

Feature engineering

Model deployment

TensorFlow

PyTorch

Cross-functional teamwork

Problem solving

Education

Bachelor's degree or equivalent

Related field experience

Tools

TensorFlow

PyTorch

Python

Job description

Meridian Advanced Solutions, a Portland, OR-based technology company, is hiring a Machine Learning Engineer for a full-time position. You will develop and implement machine learning models to tackle complex business challenges.

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

Join our collaborative team in a modern office environment in Portland, OR. You'll work on diverse projects and contribute to our company's growth.

The pay for this position is discussed during the interview, with the final compensation package being determined based on the candidate's experience, qualifications, and the specific requirements of the role. Benefits are not specified, but may include health insurance, retirement plans, and other perks typically offered by the company. The interview process also covers the candidate's expectations for the role, including the tasks they will be responsible for, the tools and technologies they will use, and the workplace environment they will be part of. This comprehensive discussion ensures that both the employer and the candidate have a clear understanding of the position and its associated benefits.

To succeed, you need a strong background in machine learning and a relevant degree or equivalent experience. Proficiency in Python and familiarity with TensorFlow or PyTorch is essential. Experience with data preprocessing, feature engineering, and model deployment is required.

• developing and implementing machine learning models
• training and evaluating models
• deploying models into production
• collaborating with cross-functional teamsstrong background in machine learning
• relevant degree or equivalent practical experience
• proficiency in Python
• familiarity with TensorFlow or PyTorch
• experience with data preprocessing
• feature engineering
• and model deployment