7 years

0 Lacs

Posted:13 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 7 yearsLocation: IndiaJobType: full-timeWe are looking for a highly motivated

MLOps Engineer

with a strong passion for automation, modern DevOps/MLOps practices, and scalable machine learning operations. The ideal candidate will have expertise in cloud-based data platforms—preferably

Google Cloud Platform (GCP)

—as well as experience building and managing end-to-end ML pipelines and infrastructure-as-code solutions.

Requirements

Key Responsibilities & Requirements

  • Demonstrated passion for automation and MLOps/DevOps methodologies.
  • Strong understanding of containerization and orchestration technologies.
  • Solid foundation in Machine Learning and Data Science concepts.
  • Experience building and operating cloud-native data architectures, ideally leveraging GCP services.
  • Hands-on experience with Infrastructure as Code (IaC) using Terraform.
  • Proven understanding of CI/CD pipelines and automation tools such as Azure DevOps.
  • Proficient in Python for developing automation workflows and ML components.
  • Experience working within Agile development teams.
  • Proficient with Git for version control and collaborative development.
  • Extensive experience with GCP Vertex AI components including Feature Store, Pipelines, Notebooks, Model Registry, Endpoints, and Monitoring (or equivalent platforms).
  • Strong problem-solving mindset with high levels of proactivity, analytical thinking, adaptability, and accountability.
  • Excellent communication, collaboration, coaching, and mentoring skills with the ability to influence and drive technical improvements.
  • Demonstrated initiative, innovation, and strategic awareness.

Core Skills

Machine Learning
  • MLOps
  • Terraform
  • GCP
  • Python
  • Vertex AI

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