Advanced GenAI/ML Platform Engineer

1 week ago

Ellore, Andhra Pradesh, India beBeePlatform Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

We are seeking a skilled professional to join our team as a GenAI/ML Platform Specialist. In this role, you will be responsible for designing and implementing cutting-edge GenAI/ML platforms that drive business growth and innovation.

The ideal candidate will have a strong background in computer science and experience working with various technologies such as Python, R, React, NodeJS, Jupyter notebooks, Docker, Kubernetes, AWS, and GC. They will also possess excellent troubleshooting skills, a strong understanding of Unix/Linux Operating system internals, and fluency in English.

Additionally, the successful candidate will have hands-on experience with infrastructure automation, observability tools such as Prometheus, Grafana, Alert Manager, Splunk (or ELK stack), PagerDuty, and experience working on GenAI/ML Platforms (Dataiku, Bedrock, etc). Basic knowledge of writing SQL queries and familiarity with TCP/IP are also required.

Requirements:
  • Minimum total experience of 6+ years
  • Bachelor's degree in computer science / information technology/computer information systems or relevant working experience in IT field
  • Experience with Python, R, React, NodeJS, Jupyter notebooks, Docker, Kubernetes, AWS, and GC
  • Excellent troubleshooting skills
  • Strong understanding of Unix/Linux Operating system internals
  • Fluency in English
Benefits:
  • Ongoing training and development opportunities
  • A dynamic and supportive work environment
  • The chance to work on challenging projects and contribute to the growth of the company
Preferred Skills:
  • Certification in Dataiku Platform & Kubernetes (CKA, CKS)
  • Certification in one of the following Cloud Providers; AWS, GCP, Azure
  • Experience with CI/CD tooling such as Jenkins, GIT, Artifactory, Spinnaker
  • Software development skills; Python, Java, Go, Node.js, React
What We Offer:
  • A competitive salary package
  • Ongoing training and development opportunities
  • A dynamic and supportive work environment

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