AI Platform Specialist (Python, LLMsSLMs, Cloud)
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Job Location:
Monthly Salary:
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
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
Required Experience:
Manager
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
About Company
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