Remote MLOps Engineer - (Remote - India, Malta, UK)

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Description:

  • Jobgether is seeking an MLOps Engineer for remote positions in India, Malta, and the United Kingdom.
  • The role involves building and optimizing machine learning pipelines, ensuring data quality, automating model retraining and validation, and creating monitoring systems for models in production.
  • The ideal candidate should have a deep understanding of Python and MLOps principles, along with strong problem-solving skills and attention to detail.
  • Key responsibilities include designing and building ELT pipelines for data processing, constructing automated MLOps pipelines, implementing CI/CD pipelines for model deployment, developing monitoring services for model performance, and collaborating with cross-functional teams to maintain data quality.

Requirements:

  • Candidates must have strong proficiency in Python and experience with data processing frameworks.
  • Familiarity with Docker and containerized applications is required.
  • A basic understanding of machine learning concepts and techniques is necessary.
  • The ability to write clean, maintainable, and efficient code for ML pipelines is essential.
  • Excellent problem-solving skills and attention to detail are mandatory.

Benefits:

  • Employees will work on challenging and impactful projects with opportunities for personal and professional growth.
  • The company offers a welcoming and diverse team of highly skilled international professionals.
  • Access to cutting-edge hardware and technology is provided to support work.
  • A competitive salary and performance-based incentives are included.
  • The position offers a flexible work environment with the option to work remotely from anywhere in the world.
  • Employees receive 40 paid days off to ensure a healthy work-life balance.
  • The corporate culture is supportive, with internal events and a commitment to empowerment and collaboration.
Apply now
Please, let Jobgether know you found this job on RemoteYeah . This helps us grow 🌱.
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