Senior MLOps Engineer

A hyper-growth Shopify ecommerce leader enabling SMB companies to unlock real-time relevancy through AI and ML-powered solutions.
$325,000 - $435,000
Machine Learning
Senior Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
AI · E-Commerce

Description For Senior MLOps Engineer

Rokt, valued at $3.5 billion USD, is a leading Shopify ecommerce company that recently acquired Aftersell in February 2024. The company specializes in AI and ML-powered solutions, handling over 6.5 billion transactions connecting 400 million customers worldwide. As a Senior MLOps Engineer, you'll be responsible for maintaining and scaling their TensorFlow and Kubeflow-based machine learning pipeline. The role offers a competitive compensation package ranging from $325,000 to $435,000, including base salary, equity, and comprehensive benefits.

You'll work directly with ML engineers, software engineers, and infrastructure teams to optimize deployment processes, automate workflows, and monitor model performance. The position requires expertise in MLOps, with a focus on enhancing pipeline efficiency, driving platform scaling, and establishing MLOps excellence. You'll be instrumental in designing and implementing robust frameworks for model deployment and monitoring.

Rokt offers a collaborative, fast-paced environment with a strong focus on innovation and continuous learning. The company provides numerous benefits including equity participation, comprehensive healthcare, professional development opportunities, and flexible work arrangements. Their hybrid work model requires 4 days in the office, with the flexibility to work remotely one week per quarter.

The ideal candidate will have at least 3 years of ML Engineering experience, strong knowledge of cloud platforms (particularly AWS), and expertise in containerization tools. This role presents an excellent opportunity to work with cutting-edge technology while contributing to a rapidly growing global ecommerce platform.

Last updated an hour ago

Responsibilities For Senior MLOps Engineer

  • Maintain and scale TensorFlow and Kubeflow-based machine learning pipeline
  • Optimize deployment processes and boost pipeline scalability
  • Automate workflows and monitor model performance
  • Design and implement robust MLOps frameworks
  • Set up comprehensive CI/CD pipelines
  • Partner with data scientists, software engineers, and product teams
  • Monitor, troubleshoot, and resolve issues affecting model performance

Requirements For Senior MLOps Engineer

Kubernetes
  • Bachelor's degree in Computer Science or related technical field
  • 3+ years of experience in ML Engineering
  • Experience with TensorFlow and Kubeflow
  • Expertise in deploying models and managing ML workflows
  • Familiarity with MLflow, TFX, or Airflow
  • Strong knowledge of AWS
  • Experience with Docker and Kubernetes
  • Strong problem-solving and communication skills

Benefits For Senior MLOps Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Education Budget
Equity
  • LevelUp! program for coaching, courses, and training
  • Company equity for all employees
  • Catered lunch and healthy snacks
  • Gym membership
  • 4% dollar-for-dollar 401K matching
  • Fully funded premium health insurance
  • Dog-friendly office
  • Extra leave including bonus annual leave and sabbatical leave
  • Global offices in multiple locations
  • Flexible work arrangements

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