Artificial Intelligence Engineer
Aviso de fuente externaen Tech Mahindra
Tech Mahindra has a full-time opportunity for an AI Engineer. Requirements include .NET/C#, Python, Azure services, and experience with RAG architectures.
Salario
No especificado
Ubicación
Mexico City, México
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Artificial Intelligence Engineer
Mexico City, México
Descripción del empleo
About the role
Tech Mahindra has a full-time opportunity for an AI Engineer with all the benefits.
Requirements
- 5+ years of software engineering experience.
- 2+ years of experience delivering AI/ML or Generative AI solutions in production environments.
- Demonstrated experience working on enterprise-scale AI implementations.
- Strong proficiency in .NET/C# development and Python for AI/ML application development.
- Hands-on experience with Microsoft Azure services and cloud-native development.
- Experience with Azure OpenAI Service, Azure AI Services, Azure Functions, API Management, and Azure storage services.
- Experience designing and implementing RAG architectures.
- Strong understanding of REST APIs, microservices, and distributed systems.
- Familiarity with vector databases and semantic search technologies.
Datos clave
- Full-time opportunity.
- The source states the opportunity includes all the benefits.
- Requires software engineering experience and experience delivering AI/ML or Generative AI solutions in production environments.
- Requires proficiency in .NET/C# and Python, and experience with Microsoft Azure services.
Preguntas frecuentes
What does the role require?
The role requires software engineering experience and experience delivering AI/ML or Generative AI solutions in production environments. It also requires proficiency in .NET/C# and Python.
Which Azure technologies are mentioned?
The listing names Azure OpenAI Service, Azure AI Services, Azure Functions, API Management, and Azure storage services.
What other technical experience is required?
The listing requires experience designing and implementing RAG architectures, understanding of REST APIs, microservices, and distributed systems, and familiarity with vector databases and semantic search technologies.