ML Platform Engineer

Job Description

• Design and architect scalable, resilient platforms that empower other engineering teams to confidently deploy and run their services.

• Build and maintain robust platform frameworks that support various engineering needs, including data science and machine learning workflows.

• Collaborate closely with application development, data science, and site reliability engineering (SRE) teams to deliver effective solutions.

• Deepen your expertise in core platform technologies like Kubernetes (EKS, AKS), Helm, Terraform, and GitOps tools (ArgoCD).

• Ensure seamless deployment and operation of platforms by building and maintaining CI/CD pipelines (GitLab, Azure Pipelines).

• Proactively monitor, analyze, and optimize system performance and security using tools like Prometheus, Grafana, and Datadog.

• Continuously improve platform reliability, scalability, and availability by applying SRE principles like SLOs and error budgets.

• Create and maintain comprehensive documentation for all platforms and frameworks.

Qualifications

• 5+ years of experience in software development or DevOps, with at least 2 years specifically in platform engineering.

• Strong hands-on experience with Docker, Kubernetes, and GitOps tooling.

• Proficiency in cloud platforms, with experience in AWS and Azure.

• Familiarity with monitoring and observability tools like Corelogix, Prometheus, Grafana, Datadog, or OpenTelemetry.

• Solid understanding of CI/CD pipelines leveraging tools like GitLab or GitHub actions

• Experience with Infrastructure as Code (Terraform, Ansible) and configuration management tools.

• Knowledge of networking concepts (TCP/IP, DNS, REST APIs) and API management tools.

• Experience with building and managing ML platforms is a plus, specifically with tools like MLflow or Kubeflow.

• Proficiency in scripting languages like Python or Bash.

• Excellent communication skills, both verbal and written, with the ability to clearly articulate complex technical concepts.

• A team-oriented mindset with the ability to work effectively both collaboratively and independently.

• A Bachelor’s degree in Computer Science or Computer Engineering, or equivalent practical work experience.

Additional Information

We offer a flexible working mode in Chennai

#LI-hybrid

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion