ML Ops

  • ZNP
  • Hyderabad,Chennai,Bangalore/Bengaluru
  • Job Applicants : 0
  • Posted Date : 14-09-2024

Job Description

Role & responsibilities

Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.

Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.

Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators

Preferred candidate profile

Strong Experience in machine learning operations

Job Overview

Role & responsibilities

Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.

Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.

Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators

Preferred candidate profile

Strong Experience in machine learning operations

Roles & Responsibilities

Role & responsibilities

Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.

Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.

Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators

Preferred candidate profile

Strong Experience in machine learning operations

Job Summary

  • Salary Range : 9 Lakhs - 16 Lakhs a year
  • Job Type : Full time/Permanent
  • Experience : 6 Years
  • Number Of Openings: 1
  • Job Shift : Day Shift
  • Mode of Work: Hybrid
  • Web. Address: http://www.zeronoticeperiod.com

Mode of Interview

  • CV Screening
  • Technical Assessment
  • Video Interviews
  • HR Interview

Skills

  • Machine Learning
  • ML Ops
  • Machine Learning Ops

About Company

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