Senior Machine Learning Engineer — Drive AI for Operations

Agero; United States; Remoto; USD 134.000 - 181.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health and wellness benefits

401(k) with company match

Flexible time off

Ten paid holidays

Descrizione del lavoro

Agero is seeking a Senior Machine Learning Engineer to advance our ML initiatives, developing and deploying algorithms to improve operations and customer satisfaction. You will work with cross-functional teams to define requirements and deliver scalable solutions.

The role involves leading ML projects from ideation through deployment, evaluating models, and mentoring junior engineers. Prior AWS and Python experience is essential for success in our data-driven environment.

Competenze

• Bachelor's degree or higher in CS, Eng, Math or related field; advanced degree preferred.
• 3–5 years software development experience.
• 3–5 years building ML systems.
• 3–5 years with AWS (SageMaker, S3, ECR).
• 5+ years Python experience (Pandas, Numpy, Scikit-learn).
• Experience with web services, RESTful APIs, CI/CD.
• Nice to have: tree-based models, DVC, Airflow, SQL.

Mansioni

• Design, develop, and implement ML models to optimize operations and service delivery.
• Collaborate with cross-functional teams to define requirements and deliver scalable solutions.
• Lead end-to-end ML projects from ideation to deployment and maintenance.
• Ensure best practices in model evaluation, validation, and monitoring.
• Provide technical guidance and mentorship to junior engineers.
• Stay informed on ML advances and propose improvements.

Conoscenze

Python programming

Machine learning

Communication

Data analysis

AWS cloud

Formazione

Bachelor's degree in CS/Engineering/Math

Advanced degree preferred

Strumenti

SageMaker

AWS services (S3, ECR)

RESTful APIs

Airflow

DVC

SQL

Descrizione del lavoro

Agero is seeking a Senior Machine Learning Engineer to advance our ML initiatives, developing and deploying algorithms to improve operations and customer satisfaction. You will work with cross-functional teams to define requirements and deliver scalable solutions.

The role involves leading ML projects from ideation through deployment, evaluating models, and mentoring junior engineers. Prior AWS and Python experience is essential for success in our data-driven environment.