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spydra

Spydra - MLOps Engineer

spydra
Hyderabad, India
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Job Description

Key Responsibilities

  • Assist in the design and development of MLOps pipelines for deployment and integration of ML models.
  • Support data scientists and senior engineers in operationalizing machine learning models.
  • Automate model training, testing, and deployment workflows using Python and shell scripting.
  • Monitor models in production and flag performance issues or anomalies for resolution.
  • Implement and maintain version control practices for ML models and data.
  • Containerize ML services and applications using Docker.
  • Set up and maintain Jenkins pipelines for continuous integration and delivery.
  • Support Kubernetes-based deployment of ML workloads.
  • Ensure adherence to security, data privacy, and governance standards.
  • Document MLOps processes, workflows, and configurations for team knowledge sharing.
  • Stay current with emerging MLOps tools, frameworks, and best practices.
  • Participate in sprint planning, standups, and retrospectives in an Agile environment.

Skills

  • Hands-on experience or strong familiarity with MLFlow.
  • Proficiency in Python; experience with automation and Shell/Bash scripting.
  • Working knowledge of Docker for containerization.
  • Experience with Jenkins or similar CI/CD tools.
  • Basic understanding of Kubernetes for container orchestration.
  • Understanding of machine learning concepts and the model development lifecycle.
  • Familiarity with SDLC practices and Agile methodologies.
  • Good analytical and problem-solving skills.
  • Strong communication skills and ability to work collaboratively in a team.
  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.

(ref:hirist.tech)

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Mlops
Employment Type:
Full time

About Company

spydra

Job ID: 150850191

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Last Updated: 07-07-2026 06:59:47 AM
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