Senior ML Engineer - Lead End-to-End ML Deployments (AWS)

Agero

Nashville (TN)

Presencial

USD 134.000 - 181.000

Tempo integral

Há 11 dias

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

Health insurance
401(k) match
Tuition assistance
Flexible time off
Paid holidays

Resumo da vaga

Agero in Nashville invites a Senior Machine Learning Engineer to advance our ML initiatives, developing and deploying cutting-edge models to optimize operations and customer satisfaction. You’ll own end-to-end ML projects, collaborate across teams, and mentor junior members.

Responsibilities include building scalable services, evaluating models, and driving continuous improvement while staying current with ML advances.

Qualificações

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • 3-5 years of experience in software application development and design experience.
  • 3-5 years experience working with Machine Learning systems.
  • 3-5 years of 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 continuous integration and delivery.
  • Experience with tree based models, DVC, Airflow and/or SQL are nice to have.
  • Understand fundamental design principles behind a scalable application.
  • Excellent communication skills, with the ability to interact with other teams.
  • Motivated to understand the nuances of data and its impact on the business.

Responsabilidades

  • 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.
  • Provide technical guidance and mentorship to junior team members.
  • Stay abreast of advancements in machine learning techniques and technologies to recommend improvements and new approaches.

Conhecimentos

Python programming
RESTful APIs
CI/CD
Machine learning systems
Communication skills

Formação

Bachelor's degree in CS/Engineering/Math
Advanced degree preferred

Ferramentas

AWS SageMaker
AWS (ECR, S3)
Docker
Airflow
SQL
DVC

Descrição da vaga

Agero in Nashville invites a Senior Machine Learning Engineer to advance our ML initiatives, developing and deploying cutting-edge models to optimize operations and customer satisfaction. You’ll own end-to-end ML projects, collaborate across teams, and mentor junior members.

Responsibilities include building scalable services, evaluating models, and driving continuous improvement while staying current with ML advances.

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