
AI/ML Engineer
1 week ago
Description :
Below are mandatory skills :
- C# Proficiency Must
- Semantic Kernel Experience Must
- Azure Services (App Services, Containers, AI Search, Bot Services) .NET
- LLM & Gen AI Development
- AI Agent Concepts
- Strong Problem-Solving Skills
- Experience with AI Orchestration
The budget for this role is aligned with current market standards and can be discussed based on the candidates experience and expertise
Location : Remote : 4-6 years
- Azure services (App Services, Containers, AI Foundry, AI Search, Bot Services)
- Experience in C#
- Semantic Kernel
- Strong background in working with LLMs and building Gen AI applications
- AI agent concepts
- .NET Aspire
- End-to-end environment setup for ML/LLM/Agentic AI (Dev/Prod/Test)
- Machine Learning & LLM deployment and development
- Model training, fine-tuning, and deployment
- Kubernetes, Docker, Serverless architecture
- Infrastructure as Code (Terraform, Azure Resource Manager)
- Performance Optimization & Cost Management
- Cloud cost management & resource optimization, auto-scaling
- Cost efficiency strategies for cloud resources
- MLOps frameworks (Kubeflow, MLflow, TFX)
- Large language model fine-tuning and optimization
- Data pipelines (Apache Airflow, Kafka, Azure Data Factory)
- Data storage (SQL/NoSQL, Data Lakes, Data Warehouses)
- Data processing and ETL workflows
- Cloud security practices (VPCs, firewalls, IAM)
- Secure cloud architecture and data privacy
- CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)
- Automated testing and deployment for ML models
- Agile methodologies (Scrum, Kanban)
- Cross-functional team collaboration and sprint management
- Experience with model fine-tuning and infrastructure setup for local LLMs
- Custom model training and deployment pipeline design
- Good communication skills (written and oral) (ref:hirist.tech)
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