Cloud Native MLOps Specialist

3 weeks ago


London, Greater London, United Kingdom Bazaarvoice Full time
Job Overview:

We are looking for a Cloud Native MLOps Specialist to join our Machine Learning team at Bazaarvoice. As a key member of our team, you will be responsible for designing, implementing, and maintaining robust MLOps platforms and tooling for both batch and streaming ML pipelines.

About the Job:

Key Responsibilities:

  • MLOps Platform Development: Design, implement, and maintain MLOps platforms and tooling for both batch and streaming ML pipelines.
  • Cloud Engineering Expertise: Architect and implement cloud-based solutions on AWS, leveraging expertise in Cloud Platforms & Services, ideally AWS (e.g., Lambda, ECS, ECR, CloudWatch, MSK, SNS, SQS).
  • Kubernetes and Orchestration: Strong hands-on experience with managing clusters and deploying services, utilizing ML orchestration tools (e.g., Flyte, Airflow, Kubeflow, Luigi, or Prefect).
  • Data Processing and Management: Experience with high-volume, unstructured data processing, familiar with NLP, Computer Vision, and traditional ML applications, and previous work in refactoring and migrating complex systems.

Requirements and Qualifications:

  • Strong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine learning systems.
  • Cloud Engineering Skills: Extensive experience with Cloud Platforms & Services, ideally AWS.
  • Kubernetes Expertise: Strong hands-on experience with managing clusters and deploying services.
  • Data Orchestration: Experience with ML orchestration tools.
  • CI/CD: Expertise in pipelines, especially GitHub Actions and Jenkins.

Bonus Points:

  • AWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Bedrock.
  • AWS Certification: AWS Solution Architect Professional or Associate certification.
  • Advanced Degree: Master's degree in ML / AI / Computer Science.

Salary Range: $110,000-$160,000 per year, depending on location and experience.



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