Machine Learning Engineer

Meridian Pacific; Dallas (TX); On-site; USD 180,000 - 270,000; Full time

Job summary

Meridian Pacific, a leading financial services company, is seeking a Machine Learning Engineer for a full-time position in Dallas, TX. This role offers competitive compensation and the chance to work with advanced technology in a dynamic setting.

As a Machine Learning Engineer, you will develop and implement models, collaborate with data scientists and engineers, and translate business needs into technical requirements for production deployment.

Qualifications

• Strong background in machine learning.
• Proficient in Python.
• Solid understanding of statistical and mathematical concepts.
• Experience with cloud platforms.
• Degree in computer science, engineering, or related field.

Responsibilities

• Develop and implement machine learning models
• Collaborate with data scientists and software engineers
• Work with business stakeholders to understand needs
• Develop and deploy models in production

Skills

Python

Machine learning

Team collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Cloud platforms

Job description

Meridian Pacific, a leading financial services company, is seeking a Machine Learning Engineer for a full-time position in Dallas, TX. This role offers competitive compensation and the chance to work with advanced technology in a dynamic setting.

As a Machine Learning Engineer, you will develop and implement machine learning models to address complex business issues. Your tasks will include collaborating with data scientists and software engineers to design and deploy scalable solutions, and working with business stakeholders to translate their needs into technical requirements.

You will join a team of dedicated data professionals in our modern offices in Dallas, TX. Our workplace culture encourages innovation and teamwork, providing the resources and support needed for your success.

Meridian Pacific offers a attractive compensation range of $180,000 to $270,286 per year, along with comprehensive benefits. The exact benefits package is not detailed, but we are committed to creating a rewarding work environment.

To be successful in this role, you should have a strong background in machine learning, with experience in developing and deploying models in production. You should be proficient in Python and have a solid understanding of statistical and mathematical concepts, as well as experience with cloud platforms. A degree in computer science, engineering, or a related field is required.

Key Responsibilities and Requirements

• Develop and implement machine learning models
• Collaborate with data scientists and software engineers
• Work with business stakeholders to understand needs
• Strong background in machine learning
• Experience in developing and deploying models
• Proficiency in Python
• Solid understanding of statistical and mathematical concepts
• Experience with cloud platforms
• Degree in computer science, engineering, or related field