Senior Machine Learning Engineer

2 days ago


Los Angeles, California, United States iLink Digital Full time
Job Summary

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at iLink Digital. As a key member of our organization, you will be responsible for leading the deployment of ML models and life cycle management across all stages leading to production.

About the Company

iLink Digital is a Global Software Solution Provider and Systems Integrator that delivers next-generation technology solutions to help clients solve complex business challenges. Our expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

Responsibilities
  • Ensure reliability and cost saving by scaling proof of concept products to enterprise-grade applications with required components for reliability, scalability, monitoring, and security.
  • Suggest and implement best practices from software engineering to ML workflow to ensure CI/CD, reproducibility, and quick delivery cycles.
  • Lead and drive the deployment of ML models and life cycle management in all stages leading to production.
  • Be a subject matter expert on DevOps practices, CI/CD, and Configuration Management with assigned engineering teams.
  • Automate and streamline ML operations and processes.
  • Build and maintain tools for deployment, monitoring, and operations, as well as troubleshoot and resolve issues in development, testing, and production environments.
  • Operate and maintain systems supporting the provisioning of new clients, applications, and features.
  • Work to improve data scientist and data engineer productivity and delivery speed by enabling them to be more self-sufficient with automated operational processes.
  • Successfully devise and implement strategies to ensure ML-heavy systems operate with high accuracy in production and adapt to discovered needs.
  • Collaborate with data scientists, data engineers, ML engineers, cloud platform, and application engineers to create and implement cloud policies and governance for ML/DL model life cycles.
Benefits
  • Competitive salaries: $150,000 - $200,000 per year.
  • Medical, dental, vision insurance.
  • Disability, life, and AD&D insurance.
  • 401K with generous company match.
  • Paid vacation and personal leave.
  • Pre-paid commute options.
  • Employee referral bonuses.
  • Performance-based bonuses.
  • Flexible work options and fun culture.
  • Continuing education reimbursements.
  • In-house technology training.


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