Jobs at Gramener

Details of the role

About Gramener

We help consult and deliver solutions to organizations where data is at the center of decision making. We have our product and services which help makes this easier: by analyzing and visualizing large amounts of data. We are looking out for people who can understand our capabilities, client scenarios across industries and create innovative solutions

AI Ops Engineer Job Responsibilities

You will help our clients in the areas of AI Ops - Applying principles and practices of DevOps to AI/ML component infrastructure, ensuring the seamless operation of our clients’ technical operations - Productionize and continuously integrate AI/ML microservices into dynamic enterprise service architecture - Work along with cross-functional teams to enable reporting on, review and improve AI Ops

Work Location: Bangalore & Santa Clara

Experience and Qualification for AI Ops Engineer Job Role

  • Background in Computer Science
  • 3-5 years of solid experience on Dev Ops, with strong exposure to AI/ML/Data Science pipelines productionization
  • DevOps: Configuration, Provisioning (manual & automated), Continuous Build & Integration, Delivery & Release management & Integrated testing.
  • Expertise on Scaling microservices through Containers – Docker & Kubernetes
  • Strong understanding of AI/ML – from Model inception to deployment: One-off, Batch, Real-time & Online Train & Serve/Infer/Predict methods; Model formatting, storage and exporting; Pipelining & Orchestration
  • Ability to evaluate and illustrate technical cost-benefit comparisons – agility, speed, reliability & security trade-offs
  • Strong knowledge of REST API & Pub-Sub models
  • Knowledge of Computer vision and Deep Learning would be plus
  • Demonstrated ability to engage with client stakeholders and cross-functional project teams
  • Strong applied fundamentals in data management, parallel computing and cloud & distributed systems

To know more about us visit Gramener Website and Gramener Blog