Machine Learning Engineer

Granite Valley LLC; Oklahoma City (OK); Hybrid; USD 130,000 - 173,000; Full time

Job summary

Granite Valley LLC, a data analytics and machine learning solutions provider in Oklahoma City, OK, is seeking a Machine Learning Engineer for a full-time role. You will design, develop, and deploy ML models while collaborating with cross-functional teams to solve business problems.

The position offers remote-friendly work and a compensation range of $130,000 to $172,620 per year. Ideal candidates have strong ML background, proficiency in Python, and knowledge of data structures, algorithms, and

Qualifications

• Bachelor's degree in a relevant field required.
• Strong background in machine learning essential.
• Experience with deploying ML models preferred.

Responsibilities

• Designing and developing machine learning algorithms.
• Collaborating with cross-functional teams.
• Conducting data analysis.
• Deploying machine learning models.

Skills

Python

TensorFlow

PyTorch

AWS/GCP

Data analysis

Education

Bachelor's degree in a relevant field

Tools

TensorFlow

PyTorch

AWS

GCP

Job description

Granite Valley LLC, a data analytics and machine learning solutions provider, seeks a Machine Learning Engineer in Oklahoma City, OK. This full-time role involves developing and implementing cutting-edge machine learning models, with a attractive compensation range of $130,000 to $172,620 per year.

As a Machine Learning Engineer, you'll design, develop, and deploy machine learning algorithms, collaborate with cross-functional teams to solve complex business problems, and continuously improve existing models. You'll also conduct thorough data analysis to identify patterns and trends, ensuring model accuracy and reliability.

Join a dynamic team in Oklahoma City, OK, in a collaborative and innovative environment. Our office fosters creativity and provides the resources needed to excel in your role.

Granite Valley LLC offers a attractive compensation range of $130,000 to $172,620 per year. While specific benefits are not mentioned, we are committed to providing a comprehensive benefits package to support our employees.

To succeed in this role, you should have a strong background in machine learning, with experience in developing and deploying models. Proficiency in Python and a solid understanding of data structures and algorithms are essential. Familiarity with cloud platforms like AWS or GCP, and experience with deep learning frameworks such as TensorFlow or PyTorch, are a plus.

The workplace is flexible, allowing for remote work options, and candidates should be prepared to work in a dynamic and collaborative environment. The position requires a bachelor's degree in a relevant field, along with several years of experience in the industry.

• Designing and developing machine learning algorithms
• collaborating with cross-functional teams
• conducting data analysis
• deploying machine learning modelsStrong background in machine learning
• experience in developing and deploying models
• proficiency in Python
• solid understanding of data structures and algorithms
• familiarity with cloud platforms like AWS or GCP
• experience with deep learning frameworks such as TensorFlow or PyTorch