Machine Learning Engineer: ML Pipelines, Cloud & Remote

Linden Prime LLC; Sacramento (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote work options

Career growth opportunities

Comprehensive health insurance

Retirement plan

Job summary

Linden Prime LLC, a Sacramento-based technology company, is hiring a Machine Learning Engineer for a full-time role. The position involves developing and deploying ML models, data preprocessing, feature engineering, and model evaluation, with collaboration across engineering and data science teams.

The salary is negotiable and benefits include comprehensive health insurance, retirement plan with employer contributions, and professional development opportunities.

Qualifications

• Master's degree in Computer Science, Data Science, or related field.
• 3+ years of experience in machine learning and data science.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Proficiency in Python and SQL; knowledge of statistical methods and data visualization tools.

Responsibilities

• Develop and implement machine learning models and algorithms to solve complex business problems.
• Design and optimize machine learning pipelines for efficient data processing.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Conduct data analysis and feature engineering to improve model performance.
• Monitor and maintain ML models to ensure ongoing effectiveness and accuracy.
• Stay up-to-date with advancements in ML/AI technologies.

Skills

Python

Data preprocessing

Model evaluation

Statistical methods

Data visualization

Education

Master's degree in Computer Science or related field

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

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Job description

Linden Prime LLC, a Sacramento-based technology company, is hiring a Machine Learning Engineer for a full-time role. The position involves developing and deploying ML models, data preprocessing, feature engineering, and model evaluation, with collaboration across engineering and data science teams.

The salary is negotiable and benefits include comprehensive health insurance, retirement plan with employer contributions, and professional development opportunities.