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BuzzBoard AI Platform Specialist (Python, LLMs/SLMs, Cloud) in HYDERABAD, India

Job Title

AI Platform Specialist (Python, LLMs/SLMs, Cloud)

Job Summary

We are looking for an AI Platform Specialist to build, deploy, and operate AI models in production. This role is deployment-focused , with emphasis on scalability, reliability, and cost efficiency.

You will work hands-on with Python , LLM/SLM APIs (OpenAI, Gemini) , and open-source models (Hugging Face) to turn AI models into production-ready platforms and services .

Key Responsibilities

  • Deploy AI/ML models built in Python into production environments

  • Productionize OpenAI, Gemini, and other LLM APIs

  • Build, fine-tune, and deploy Small Language Models (SLMs)

  • Work with Hugging Face models (loading, fine-tuning, inference, optimization)

  • Build and maintain REST APIs for AI services

  • Containerize and deploy applications using Docker

  • Deploy and manage services on cloud platforms (AWS / GCP / Azure)

  • Set up and maintain CI/CD pipelines

  • Monitor latency, failures, and inference cost

  • Manage model versioning, scaling, and rollbacks

    Required Skills Must-Have

  • Strong Python (production experience)

  • Experience deploying AI/ML systems into production

  • Hands-on experience with OpenAI / Gemini / LLM APIs

  • Experience with the Hugging Face ecosystem

  • Understanding of SLMs and model optimization

  • REST APIs and backend systems

  • Docker and containerized deployments

  • Cloud platforms (AWS / GCP / Azure)

  • Linux and CI/CD workflows

     

    Good to Have

  • Kubernetes or serverless deployments

  • MLOps tools (MLflow, DVC, Kubeflow)

  • Monitoring and logging tools

  • Experience optimizing LLM/SLM cost, latency, and memory

  • Basic training or fine-tuning workflows

    What We Care Most About

  • Ability to deploy and operate AI platforms reliably

  • Strong focus on simplicity, performance, and cost

  • Hands-on, ownership-driven mindset

  • Comfort working in a lean startup environment

    Experience Level

  • Experience in Python / AI deployment / MLOps / DevOps

  • Prior experience with production AI systems preferred

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