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

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

Originally posted on Himalayas