Machine Learning Engineer

Mi Familia Vota; United States; Remote; USD 90,000 - 130,000; Part time

Job summary

A progressive advocacy organization is looking for a Machine Learning Engineer on a contract basis. You will design and implement machine learning models and collaborate with a team of data professionals to ensure successful deployment. Ideal candidates should have a degree in a relevant field and strong Python programming skills, with experience in ML libraries. This role offers the opportunity to work on impactful AI initiatives.

Qualifications

• Bachelor's or Master's in relevant field required.
• Proven experience in a Machine Learning Engineer role.
• Strong programming skills in Python necessary.

Responsibilities

• Design, develop, and implement machine learning models.
• Integrate and monitor machine learning models in production environments.
• Collaborate with team members to translate prototypes into production-ready solutions.

Skills

Python programming

Machine Learning libraries

Statistical analysis

Collaboration

Cloud computing services

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

GCP

Git

Job description

A company is looking for a Machine Learning Engineer (Contract) to support data science and AI initiatives.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms, performing statistical analysis and fine-tuning for performance
• Integrate, deploy, and monitor machine learning models in production environments, ensuring scalability and reliability
• Collaborate with data scientists, data engineers, and software developers to translate prototypes into production-ready solutions

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
• Proven experience as a Machine Learning Engineer or in a similar role
• Strong programming skills in Python, with experience using ML libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch
• Familiarity with MLOps practices, including model deployment and version control (Git)
• Experience with cloud computing services, especially GCP, for data processing and deploying ML models