ML Engineer

2 months ago

London, Greater London, United Kingdom Datatech Analytics Full time

Job Title: ML Ops Engineer

Job Type: Full-time

Company: Datatech Analytics

Location: Remote

Job Description:

Job Summary:

We are seeking an experienced ML Ops Engineer to join our team at Datatech Analytics. As an ML Ops Engineer, you will play a vital role in delivering operational, scalable data and AI solutions, providing technical guidance across a variety of projects.

Key Responsibilities:

  1. Design, Implement, and Maintain ML Platform: Design, implement, and maintain the ML platform and infrastructure required to enable deployment of ML and AI models at scale.
  2. Automated CI/CD Pipelines: Design and implement automated CI/CD pipelines for ML models with an efficient route to live from prototype to production.
  3. Scalable ML Tools and Services: Develop, deploy, monitor, and maintain scalable ML tools and services in production environments to support training and inference.
  4. Monitoring and Logging Solutions: Implement monitoring and logging solutions to track model performance.
  5. Data Collection, Storage, and Processing: Develop and maintain infrastructure for data collection, storage, and processing.
  6. Process Documentation and Tools: Own and develop process documentation and tools, support model development with an emphasis on auditability, versioning, and data security.

Requirements:

  1. Experience in ML and AI Production Solutions: Experience building ML and AI production solutions on Microsoft Azure preferably with certifications.
  2. Programming Skills: Proficiency in Python and SQL.
  3. Orchestration Tools: Familiarity with orchestration tools such as Azure Data Factory.
  4. Infrastructure as Code Tools: Experience with infrastructure as code tools such as Azure DevOps and Terraform.

What We Offer:

We offer a competitive salary and a collaborative work environment. If you are passionate about ML and AI and have the required skills and experience, we encourage you to apply.

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