Senior ML Engineer: Cloud Deployment & SageMaker

Agero; Manchester (NH); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Healthcare

401(k) with company match

Flexible time off

Ten paid holidays

Job summary

Agero is seeking a Senior Machine Learning Engineer to advance our ML initiatives and deploy cutting-edge models to enhance operations and customer satisfaction. You will lead end-to-end ML projects, collaborating with cross-functional teams, and ensuring models meet rigorous evaluation and monitoring standards.

The role emphasizes scalable web services, data-driven decision making, and staying current with ML innovations to continuously improve processes.

Qualifications

• 3–5 years of experience in software development.
• 3–5 years of experience with machine learning systems.
• Experience with AWS services (SageMaker, S3, ECR).
• Experience building large, complex systems, particularly web services, RESTful APIs, and CI/CD.

Responsibilities

• Design, develop, and implement ML models and algorithms to optimize operations and service delivery.
• Collaborate with cross-functional teams to define requirements and deliver scalable solutions.
• Lead the full lifecycle of ML projects from ideation to deployment and maintenance.
• Ensure adherence to ML best practices, including evaluation, validation and monitoring.
• Drive innovation and continuous improvement in ML applications and processes.
• Stay updated on ML advancements to propose improvements.

Skills

Machine learning

Python

AWS (SageMaker, S3, ECR)

Education

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

Tools

RESTful APIs

Airflow

DVC

SQL

SageMaker

Job description

Agero is seeking a Senior Machine Learning Engineer to advance our ML initiatives and deploy cutting-edge models to enhance operations and customer satisfaction. You will lead end-to-end ML projects, collaborating with cross-functional teams, and ensuring models meet rigorous evaluation and monitoring standards.

The role emphasizes scalable web services, data-driven decision making, and staying current with ML innovations to continuously improve processes.