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