Machine Learning Engineer Lead

Há 6 dias


Lisboa, Lisboa, Portugal Sage Global Services Limited Tempo inteiro

We are looking for a skilled Senior MLOps Engineer to lead our team in designing, developing, and implementing machine learning systems in production environments.

The ideal candidate will have a strong background in software engineering, machine learning, and operations, ensuring the smooth functioning of ML systems in production.

Job Description:

The Senior MLOps Engineer will be responsible for:

  • Designing and developing scalable and reliable systems for deploying machine learning models into production.
  • Architecting and building tools and pipelines to improve the efficiency of our clients Model Development Life Cycle (MDLC), automating ML processes and enhancing system performance.
  • Implementing CI/CD pipelines for seamless model updates and releases.
  • Establishing robust monitoring and alerting systems to track model performance, system health, and data drift.
  • Collaborating with cross-functional teams to understand requirements, implement solutions, and address challenges throughout the ML lifecycle.
Requirements:
  • Minimum 5 years of experience as an MLOps Engineer or in similar roles.
  • Hands-on knowledge in delivering and leading data science and machine learning projects.
  • Experience with cloud platforms (AWS, Azure, GCP) and cloud architecting for machine learning technologies.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Expertise with containerization technologies (Docker, Kubernetes) and DevOps tools (Jenkins, Ansible, Grafana, Prometheus, Elastic).
  • Familiarity with CI/CD deployment practices and automated testing.
  • A bachelor's degree in computer science, Engineering, Mathematics, or a similar field.
  • Strong ability to effectively convey technical concepts to non-technical stakeholders, preferably in English.


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