Advanced Machine Learning Infrastructure Specialist

2 days ago


Dombivli, Maharashtra, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Gen AI/ML Platform Engineer

We are seeking a highly experienced and skilled platform engineer to lead our team in the design, development, and maintenance of large-scale gen AI/ML platforms.

Key Responsibilities:

  • Design and develop scalable infrastructure for gen AI/ML systems using technologies such as Docker, Kubernetes, and AWS/GC.
  • Collaborate with cross-functional teams to identify and prioritize platform enhancements and new feature development.
  • Work closely with data scientists and engineers to implement and maintain machine learning models and pipelines.
  • Develop and maintain observability tools such as Prometheus, Grafana, Alert Manager, Splunk (or ELK stack), and PagerDuty.
  • Implement robust troubleshooting skills and have a strong appetite to learn new technologies.
  • Familiarize yourself with Unix/Linux Operating System internals and TCP/IP protocols.

Requirements:

  • 6+ years of experience in software engineering, preferably in gen AI/ML.
  • Bachelor's degree in Computer Science or relevant field, or equivalent experience.
  • Expertise in Python, R, React, NodeJS, Jupyter Notebooks, and REST APIs.
  • Experience working with various cloud providers such as AWS and/or GC.
  • Strong understanding of gen AI, agentic AI, and machine learning technologies.
  • Familiarity with infrastructure automation and observability tools.

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 in languages such as Python, Java, Go, Node.js, and React.
  • Familiarity with data service solutions such as Elastic, Kafka, Redis, Nifi, etc.

Soft Skills:

  • Excellent written and oral communication skills on both technical and non-technical topics.
  • Ability to document requirements and specifications.
  • Self-starter able to work in a team or individually to complete complex technical tasks.
  • Able to explore new concepts, ideas, and technologies and formulate understanding and apply to work tasks.


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