ML Engineer: Deploy & Optimize Production Models

GetJobSmart; Fresno (CA); Presencial; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive health insurance

Retirement plan with employer matching

Opportunities for professional dev

Descripción de la vacante

Alliance Advanced Inc. in Fresno, CA is seeking a full-time Machine Learning Engineer to build and deploy models that address complex business problems.

You will design, train, and optimize models, perform data preprocessing, and collaborate with data scientists, software engineers, and business analysts to integrate ML solutions into existing systems. You will evaluate models with metrics such as cross-validation and ROC curves, and help bring models into production via APIs and user

Formación

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• 2+ years of experience in machine learning and data science.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of cloud platforms like AWS or GCP is a plus.

Responsabilidades

• Develop and deploy machine learning models to improve products and services.
• Collaborate with cross-functional teams to translate business needs into technical requirements.
• Conduct data analysis and preprocessing to ensure high-quality input for models.

Conocimientos

Machine learning

Data analysis

Cross-functional collaboration

Educación

Master's degree in Computer Science or related field

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

Herramientas

Python

TensorFlow

scikit-learn

PyTorch

AWS

GCP

Descripción del empleo

Alliance Advanced Inc. in Fresno, CA is seeking a full-time Machine Learning Engineer to build and deploy models that address complex business problems.

You will design, train, and optimize models, perform data preprocessing, and collaborate with data scientists, software engineers, and business analysts to integrate ML solutions into existing systems. You will evaluate models with metrics such as cross-validation and ROC curves, and help bring models into production via APIs and user