Machine Learning Engineer

6 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Openings

Location

Hours

Rate:

Job Purpose

Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models. The ML/Ops Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated and repeatable way.


Job Responsibilities

  • Create and maintain a scalable code to deliver AI/ML processes.
  • Design and implement the pipelines for building and deployment of ML models.
  • Design dashboards to monitor a system.
  • Collect metrics and create alerts based on them.
  • Design and execute performance tests.
  • Perform feasibility studies/analysis with a critical point of view.
  • Support and maintain (troubleshoot issues with data and applications).
  • Develop technical documentation for applications, including diagrams and manuals.
  • Working on many different software challenges always and ensuring a combination of simplicity and
  • maintainability within the code.
  • Contribute to architectural designs of large complexity and size, potentially involving several distinct
  • software components.
  • Work as a member of a team, encouraging team building, motivation and cultivating effective team
  • relations.

Required Experience

  • Demonstrated experience and knowledge in Linux and Docker containers
  • Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS)
  • Proficient in programming languages: Python
  • Experience with ML/Ops technologies like Azure ML
  • Experience with SQL
  • Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc.
  • Strong ability to analyze and synthesize. (Good analytical and logical thinking capability)
  • Proactive attitude, resolutive, used to work in a team and manage deadlines.
  • Ability to learn quickly
  • Agile methodologies development (SCRUM/KANBAN).
  • Minimal work experience of 6 years with evidence.
  • Ability to keep fluid communication written and oral in English, both written and spoken


Preferred Experience

  • Demonstrated experience and knowledge in unit and integration testing
  • Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow
  • Experience designing and implementing CICD pipelines for automation.
  • Experience designing monitoring dashboards (Grafana or similar)

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