ML Engineer: Build Scalable Models | Flexible Work

Beacon Premier Corp.; Orlando (FL); On-site; USD 100,000 - 138,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Professional development opportunities

Performance bonuses

Flexible work arrangements

Job summary

Beacon Premier Corp. in Orlando, FL is seeking a Machine Learning Engineer to develop and implement ML models addressing complex business challenges.

The role involves collaborating with cross-functional teams, data analysis, model development, and deployment in a dynamic environment. Requirements include a degree in CS/Math/Statistics, 2+ years in ML/data science, and proficiency in Python or R with ML frameworks.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of experience in machine learning and data science.
• Proficiency in Python or R and machine learning frameworks.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Design, build, and maintain scalable machine learning systems and infrastructure.
• Monitor and optimize models to ensure performance and accuracy.
• Stay up-to-date with advancements in machine learning and data science.
• Document and communicate ML solutions to stakeholders.
• Conduct data analysis and visualization to support decision-making.
• Work with large datasets ensuring data quality and integrity.

Skills

Machine learning

Data analysis

Python

R

Statistics

Algorithms

Cloud platforms

SQL

NoSQL

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Google Cloud

Azure

SQL

NoSQL

Job description

Beacon Premier Corp. in Orlando, FL is seeking a Machine Learning Engineer to develop and implement ML models addressing complex business challenges.

The role involves collaborating with cross-functional teams, data analysis, model development, and deployment in a dynamic environment. Requirements include a degree in CS/Math/Statistics, 2+ years in ML/data science, and proficiency in Python or R with ML frameworks.