Machine Learning Engineer

Meridian South Group; Jacksonville (FL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health insurance

Retirement plan with employer matching

Professional development & conferences

Flexible work arrangements

Wellness programs

Paid time off

Job summary

Meridian South Group is seeking a Machine Learning Engineer in Jacksonville, FL for a full-time role with a negotiable salary. The position involves developing and implementing machine learning models, optimizing algorithms, and collaborating with cross-functional teams to deliver data-driven solutions.

The ideal candidate will have a Master’s degree in Computer Science, Statistics, or a related field, 2+ years of experience in ML, and strong skills in Python and ML frameworks.

Qualifications

• Master's degree required in CS, Statistics, or related field.
• Bachelor's degree in CS, Statistics, Mathematics, or related field.
• 2+ years of experience in ML and data science.
• Strong programming skills in Python, R, or other relevant languages; familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).

Responsibilities

• Develop and implement machine learning models to solve business problems.
• Collaborate with cross-functional teams to translate business needs into technical requirements.
• Conduct data analysis and interpret results to inform decisions.
• Optimize ML models for scalability and efficiency.

Education

Master's degree in Computer Science, Statistics, or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

Python

TensorFlow

PyTorch

AWS

GCP

scikit-learn

Job description

Meridian South Group, a company specializing in data analytics and machine learning solutions, is seeking a Machine Learning Engineer in Jacksonville, FL. This is a full-time position with a negotiable salary.

As a Machine Learning Engineer, you will develop and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver data-driven solutions. You will also conduct data analysis and interpret results to inform business decisions.

You will work in a dynamic team environment in Jacksonville, FL, contributing to the company's mission of leveraging machine learning to solve complex problems and drive business outcomes.

The salary for this position is negotiable and can be discussed based on the candidate's experience and qualifications. Benefits may include comprehensive health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development such as workshops, training programs, and access to industry conferences. Additionally, the company may offer other perks like flexible work arrangements, wellness programs, and paid time off. The goal is to create a comprehensive compensation package that reflects the value of the role and supports the overall well-being of the employee.

To be successful in this role, you should have a Master's degree in Computer Science, Statistics, or a related field. You should have experience with Python, TensorFlow, and PyTorch. Familiarity with cloud platforms like AWS or GCP is a plus.

Develop and implement machine learning models to solve business problemsCollaborate with cross-functional teams to understand business needs and translate them into technical requirementsDesign, train, and evaluate machine learning algorithms to ensure optimal performanceOptimize machine learning models for scalability and efficiencyStay up-to-date with the latest advancements in machine learning and data scienceBachelor's degree in Computer Science, Statistics, Mathematics, or a related field2+ years of experience in machine learning and data scienceStrong programming skills in Python, R, or another relevant languageExperience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learnKnowledge of data preprocessing, feature engineering, and model evaluation techniquesExcellent problem-solving skills and attention to detailAbility to communicate complex technical concepts to non-technical stakeholders