Staff Machine Learning Engineer

New
Australia, Canada, India, United Kingdom, United StatesFull-TimeStaff
SalaryUSD 163000 - 261000 / year
Apply NowOpens the employer's application page

Job Details

Experience
Minimum of 4 years in ML engineering or related software engineering experience
Required Skills
AWSDockerPythonJavaKubernetesMachine LearningGoCI/CDRESTful APIsMLOps

Requirements

  • Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience.
  • Minimum of 4 years in ML engineering or related software engineering experience.
  • Proficiency in ML development cycles and toolsets.
  • Strong technical leadership skills in an Agile/Sprint working environment.
  • Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure.
  • Proficiency in Python, GO, or Java.
  • Experience with Github, Docker, Kubernetes, and cloud services (e.g., AWS).
  • Experience with commercial databases and HTTP/web protocols.
  • Knowledge of systems performance tuning and load testing.
  • Reliable internet access for remote working opportunities.

Responsibilities

  • Architect and deliver cutting-edge ML solutions using MLOps and best practices.
  • Design systems to enable rapid ML development, high availability, and clear observability.
  • Develop tools, systems, and automation to support ML solutions, ensuring efficiency and scalability.
  • Collaborate with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features.
  • Provide technical leadership, mentor team members, and define best practices.
  • Deliver, update, and maintain ML infrastructure to meet evolving needs.
  • Monitor performance, host ML models, and provide necessary technical support.
  • Write automated tests to ensure robustness and reliability of ML solutions.
  • Participate in on-call rotations providing 24x7 support for SaaS hosted environments.
View Full Description & ApplyYou'll be redirected to the employer's site
USD 163000 - 261000 / year
Apply Now