Senior MLOps Engineer/Architect

Toptal India
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join Toptal's elite network of freelance talent as a Senior MLOps Engineer/Architect. Lead the design, development, and validation of scalable MLOps workflows, collaborating with cross-functional teams to ensure alignment with business objectives and production-grade machine learning systems.

Key Highlights
Lead MLOps workflow design and development
Collaborate with cross-functional teams
Ensure alignment with business objectives
Technical Skills Required
Python MLOps ML Pipeline Development MLflow Kubeflow Airflow Git Jenkins Docker Kubernetes Model Lifecycle Management
Benefits & Perks
Full-time contract
12+ months duration
Fully remote work
Authorization to work in country of residence

Job Description


Join Toptal’s Elite Network of Freelance Talent

Toptal is an exclusive network of the world’s top freelance software developers, designers, finance experts, product managers, and project managers. As one of the fastest-growing fully remote networks globally, we empower professionals to thrive in their freelance careers while working with leading companies around the world.


About the Client

Our client is a Japanese semiconductor manufacturer headquartered in Tokyo, known for its commitment to quality.


Role: Senior MLOps Engineer/Architect

We are seeking a Senior MLOps Engineer / Architect to lead the design, development, and validation of scalable MLOps workflows. In this role, you will collaborate closely with developers, data scientists, and product teams to ensure alignment with business objectives and production-grade machine learning systems.


Responsibilities

  • Design, validate, and implement robust MLOps pipelines.
  • Ensure reproducibility, scalability, and efficiency across the ML lifecycle.
  • Collaborate with cross-functional teams to align workflows with business and technical goals.
  • Establish standards for model validation, deployment, and monitoring.
  • Contribute to CI/CD practices for machine learning models.
  • Monitor deployed models and maintain performance over time.


Key Skills & Technologies

  • Programming: Python
  • MLOps & ML Pipeline Development
  • Tools & Orchestration: MLflow, Kubeflow, Airflow, or similar
  • CI/CD: Git, Jenkins, Docker, Kubernetes
  • Model Lifecycle Management: Validation, deployment, monitoring, retraining
  • Must have: Bachelor's or Master's Degree in Data Science or related field


Additional Details

  • Time-zone: 4 hours of overlap with Tokyo, Japan
  • Type: Full-time contract
  • Duration: 12+ months
  • Remote: Yes (fully remote)
  • Authorization: Applicants must be authorized to work in their country of residence without employer sponsorship


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