ML Engineer - Visa Sponsorship & Growth in Atlanta

LuxGuard Solutions; Atlanta (GA); On-site; USD 13,000 - 16,000; Full time

Benefits offered by this job

Free visa sponsorship

Free air ticket

Health insurance

Relocation assistance

Growth opportunities

Job summary

LuxGuard Solutions in Atlanta is seeking a talented Machine Learning Engineer to design, develop, and implement ML algorithms and models. You will apply data analysis and programming to derive insights from large datasets and improve our products and services.

You will collaborate with cross-functional teams, deploy models to production, monitor performance, and explain results to non-technical stakeholders. A strong background in ML techniques and practical coding skills are essential.

Qualifications

• Bachelor's or master's degree in CS/Math or related field.
• Minimum 3 years of experience as a Machine Learning Engineer or Data Scientist.
• Proficiency in Python, R, or Java.
• Strong understanding of ML techniques and algorithms (regression, clustering, deep learning).
• Experience with data visualization tools is a plus.

Responsibilities

• Design, develop, and implement machine learning algorithms and models.
• Collaborate with cross-functional teams to align with business objectives.
• Collect, organize, and analyze large datasets using Python, R, or SQL.
• Develop ML models to solve problems across domains.
• Test model performance and fine-tune parameters for optimal results.
• Deploy models into production systems and monitor performance.

Skills

Python

R

Java

ML algorithms

Data analysis

SQL

Education

Bachelor's or Master's degree in CS/Math

Tools

Tableau

Power BI

SQL

Job description

LuxGuard Solutions in Atlanta is seeking a talented Machine Learning Engineer to design, develop, and implement ML algorithms and models. You will apply data analysis and programming to derive insights from large datasets and improve our products and services.

You will collaborate with cross-functional teams, deploy models to production, monitor performance, and explain results to non-technical stakeholders. A strong background in ML techniques and practical coding skills are essential.