Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science or Computer Engineering, or equivalent practical experience, along with 5+ years in software development or DevOps, including at least 2 years in platform engineering. Required skills include strong hands-on experience with Docker, Kubernetes, GitOps tooling, cloud platforms (AWS, Azure), monitoring tools (Prometheus, Grafana, Datadog), CI/CD pipelines (GitLab, GitHub Actions), Infrastructure as Code (Terraform, Ansible), networking concepts, and scripting languages (Python, Bash). Experience with ML platforms like MLflow or Kubeflow is a plus. Excellent communication and a team-oriented mindset are also essential.
The ML Platform Engineer will design, build, and maintain scalable and resilient platforms and core frameworks to support various engineering needs, including data science and machine learning workflows. Responsibilities include collaborating with development, data science, and SRE teams, ensuring seamless platform deployment and operation via CI/CD pipelines, proactively monitoring and optimizing system performance and security, and applying SRE principles to improve platform reliability. The role also involves creating and maintaining comprehensive documentation for all platforms and frameworks.
Global measurement and data analytics provider
Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.