ML Engineer (Fully Remote)

Makpar; United States; Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Comprehensive benefits package

Career development opportunities

Job summary

Makpar is seeking a data science/ML engineer to develop, train, and optimize predictive models for decision support. You will work across data ingestion, preprocessing, feature engineering, and model deployment in an Agile environment.

The role emphasizes collaboration with cross-functional teams, contribution to technical planning, and ongoing training with a comprehensive benefits package and career development opportunities.

Qualifications

• Bachelor's degree in a technical field with Python/Databricks/ML libraries experience.
• Experience with CI/CD, Git, and REST APIs for model integration.
• Work with cross-functional teams in an Agile environment.
• Contribute to technical planning and documentation.
• Flexible work schedules and training opportunities.
• Comprehensive benefits package and career development.

Responsibilities

• Develop, train, and optimize machine learning models for predictive analytics and decision-making.
• Support data ingestion, preprocessing, feature engineering, and model deployment.
• Contribute to technical planning and documentation.

Skills

Python

Databricks

ML libraries

Education

Bachelor's degree in a technical field

Tools

CI/CD

Git

REST APIs

Job description

• Develop, train, and optimize machine learning models for predictive analytics and decision-making.
• Support data ingestion, preprocessing, feature engineering, and model deployment.

Qualifications:

• Bachelor's degree in a technical field with experience in Python, Databricks, and ML libraries.
• Experience with CI/CD, Git, and REST APIs for model integration.
• Work with cross-functional teams in an Agile environment.
• Contribute to technical planning and documentation.
• Flexible work schedules and training opportunities.
• Comprehensive benefits package and career development.

Makpar

Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.