Senior ML Engineer - Cloud Deployment & Ops

Agero

Illinois

Remote

USD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Healthcare, dental, vision, disability
401(k) plan with company match
Flexible time off & holidays

Job summary

Agero is seeking a Senior Machine Learning Engineer to advance our ML initiatives across operations and service delivery. You will design, develop, and deploy cutting-edge models and integrate them with our dispatch and customer satisfaction metrics.

Collaborate with cross-functional teams, lead ML projects through full lifecycle, and apply best practices for evaluation, validation, and monitoring. Agero offers comprehensive benefits and a path to grow in a data-driven, innovative environment.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • 3-5 years of experience in software application development and design.
  • 3-5 years experience working with Machine Learning systems.
  • 3-5 years experience with AWS services (ECR, S3, SageMaker).
  • 5+ years experience in Python (Pandas, Numpy, Scikit-learn).
  • Experience building large, complex systems, particularly web services, RESTful APIs, and CI/CD.
  • Experience with tree based models, DVC, Airflow and/or SQL is nice to have.
  • Understand fundamental design principles behind a scalable application.
  • Motivated to understand the nuances of data and its impact on the business.

Responsibilities

  • Design, develop, and implement machine learning models and algorithms to optimize operations and service delivery.
  • Collaborate closely with cross-functional teams to define requirements, conduct feasibility analysis, and deliver scalable solutions.
  • Lead the full lifecycle of machine learning projects, from ideation through to deployment and maintenance.
  • Ensure adherence to best practices in machine learning, including model evaluation, validation, and monitoring.
  • Drive innovation and continuous improvement in machine learning applications and processes.
  • Stay abreast of advancements in machine learning techniques and technologies to recommend improvements and new approaches.

Skills

Python programming
Machine learning systems
Web services design
Data analysis
Problem solving

Education

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

Tools

AWS (ECR, S3, SageMaker)
Pandas, NumPy, Scikit-learn
RESTful APIs
CI/CD tooling
DVC
Airflow
SQL

Job description

Agero is seeking a Senior Machine Learning Engineer to advance our ML initiatives across operations and service delivery. You will design, develop, and deploy cutting-edge models and integrate them with our dispatch and customer satisfaction metrics.

Collaborate with cross-functional teams, lead ML projects through full lifecycle, and apply best practices for evaluation, validation, and monitoring. Agero offers comprehensive benefits and a path to grow in a data-driven, innovative environment.

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