Machine Learning Engineer

Metas Solutions; Atlanta (GA); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in Atlanta is seeking a Machine Learning Engineer to work remotely. The role involves designing ML systems, analyzing datasets, and optimizing algorithms. Candidates must have a Bachelor's degree and significant experience in ML and programming. This position offers competitive salary and comprehensive benefits.

Benefits

Medical

Dental

Vision

Life Insurance

PTO

401K with match

Growth opportunities

Qualifications

• 6+ years of experience in ML and programming.
• Experience with ML Model Lifecycle Management.

Responsibilities

• Design ML systems and research algorithms.
• Select datasets and verify data quality.
• Run machine learning tests and improve models.

Skills

Programming in R

Python

MLOps practices

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Tools

Spark - Databricks

EMR

MLFlow

AutoML

SparkML

Job description

Join to apply for the Machine Learning Engineer role at Metas Solutions.

***Must have or ability to obtain a US Government Security Clearance (Public Trust Level 5)***

About Us

Metas Solutions is a professional services firm headquartered in Atlanta, GA. We are an 8(a)-certified, Woman Owned Small Business (WOSB/EDWOSB) with offices at StudioPlex in Atlanta's Old Fourth Ward neighborhood. We offer technical assistance and consultation to the federal government in public health capacity building and IT solutions. For more details, visit www.metassolutions.com.

Job Description

We are seeking an experienced Machine Learning Engineer to work Remotely. The AI/ML Engineer will assess, analyze, and organize large datasets, execute tests, and optimize ML systems and algorithms.

Responsibilities

1. Design ML systems.
2. Research and set up ML algorithms and tools.
3. Select appropriate datasets.
4. Choose suitable data representation methods.
5. Identify differences in data distribution affecting model performance.
6. Verify data quality.
7. Transform and convert data science prototypes.
8. Perform statistical analysis.
9. Run machine learning tests.
10. Use results to improve models.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field.
• 6+ years of experience with Programming in R, Python, ML.
• Experience with ML Model Lifecycle Management.
• Experience with Spark - Databricks or EMR.
• Knowledge of MLOps practices - MLFlow, AutoML, SparkML, ML Libraries.
• Experience with Cloud ML/AI practices.

Additional Qualifications

• Experience with SAS.
• Experience with MLOps Platforms: Domino DataLabs, Databricks ML.
• Experience with GenAI Projects - LLM, OpenAI.
• Knowledge of Cloud Engineering.
• Experience with CDC systems is highly desirable.

Security, Salary, and Benefits

• Must be US Citizen or able to obtain a US Government security clearance (Public Trust 5).
• Competitive salary based on experience and education.
• Benefits include Medical, Dental, Vision, Life Insurance, PTO, 401K with match, and growth opportunities.

We are an Equal Opportunity Employer/Veterans/Disabled.

To apply, visit our website. Do not email resumes.