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