ML OPS Engineer

Detasec Technologies Pvt Ltd

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.E

• Role

  ML Ops Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office