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Senior MLOps Engineer

Aftersell by Rokt is a hyper-growth Shopify ecommerce leader enabling SMB companies to unlock real-time relevancy using AI and ML-powered technology.
$325,000 - $435,000
Machine Learning
Senior Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
AI · E-Commerce
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Description For Senior MLOps Engineer

Rokt, valued at $3.5 billion USD, is seeking a Senior MLOps Engineer to join their innovative team. The role offers a compelling total compensation package of $325,000 - $435,000, including equity and comprehensive benefits. As an MLOps Engineer, you'll be responsible for maintaining and scaling our TensorFlow and Kubeflow-based machine learning pipeline, working at the intersection of ML and infrastructure. You'll collaborate with cross-functional teams to optimize deployment processes, automate workflows, and ensure robust performance of AI solutions in production.

The position involves enhancing ML pipeline efficiency, driving platform scaling, and establishing MLOps excellence. You'll work with cutting-edge technologies in a fast-paced environment, implementing robust frameworks for model deployment and monitoring. The role requires expertise in machine learning engineering, cloud platforms (particularly AWS), and containerization tools.

Rokt's engineering team builds best-in-class ecommerce technology that handles millions of transactions daily, providing personalized experiences for customers globally. The company offers a transparent career path with clear progression opportunities, a collaborative culture, and the chance to work with leading talent in the industry. With offices worldwide and a hybrid work model, you'll have the flexibility to balance work and life while contributing to a mission-driven, hyper-growth organization that's revolutionizing the ecommerce space.

Last updated 3 months 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
Python
  • 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
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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