ML Ops Engineer

  • icon job experience 2 - 5 Years
  • icon job opening 1 Openings
  • icon salary Not Disclosed
  • icon job location Bengaluru

Key Skills

MLOps Machine Learning Devops

Job Description

Job Responsibilities

Build software products with R&D teams that are openly collaborative, are non-hierarchical, respect contributions, and work with agility.

Provide vision & leadership for the technology roadmap of our products.

Plan and execute PoCs as necessary.

Build and maintain the next-generation ML platforms and infrastructure

Create & Maintain CI/CD Pipelines for Machine learning models on AWS. Define, deploy and manage processes and tools for continuous integration (CI/CD), test-driven development, and release management for ML/DL models (Machine Learning and Deep Learning-based) and data pipelines.

Work closely with the Dev team to create software deployment strategies and solutions and be

accountable for designing, building, and optimizing automation systems with quality and speed

Accountable for architecture and technical leadership of complete DevOps infrastructure

Skill Requirement Mandatory

Understanding of Machine learning pipeline

Experience with productionizing deep learning applications

Experience with training, inference and deploying deep learning models using DevOps principles

Familiarity with commonly used frameworks like tensorflow, torch, sklearn, etc

Experience with containerization

Experience with version control tools such as Git, Bitbucket etc

Good understanding of NLP models like GPT, BERT, etc

Expertise in Installation, Configuration and file system management of Linux.

Performance tuning, perform backup and restore.

Experience on configuration management tool like git and SVN.

Configuring and managing Apache webserver and MySQL server.

Hands on experience on Amazon Web Services.

Hands on different operating systems.

Hands on experience on virtualization software such as Virtual Box, VMware, Vagrant and

Docker

Designing and deploying a multiple application using almost all of the AWS features (including EC2, Route53, VPN, IAM, S3, RDS) focusing on high-availability, fault tolerance and

Experience : 2 - 5 Years

No. of Openings : 1

Education : B.Tech/B.E

Role : ML Ops Engineer

Industry Type : IT-Hardware & Networking / IT-Software / Software Services

Gender : [ Male / Female ]

Job Country : India

About Detasec Technologies Pvt Ltd

DeTaSECURE is a team of accomplished cyber security experts, who help businesses secure their data & digital assets through their customized services & their product GETSecured.ai.

GETSecured.ai is a comprehensive security scanning tool that finds digital assets, breached data, exposed servers, Web App/AWS Cloud Vulnerabilities and Compliance Issues. The product is built with the sole intention to "make security simplified and affordable"
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