Senior AI Engineer - .NET & Generative AI Specialist

Tata Consultancy Services; Porto; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal allowance

Health insurance

Flexible compensation plan

Learning platforms and certifications

Global project exposure

Resumo da oferta

Tata Consultancy Services (TCS) in Porto, Portugal, seeks a Senior AI Engineer with strong .NET skills and Generative AI expertise to lead AI-powered application development. The role blends software engineering with ML/AI capabilities in a hybrid work setup.

Responsibilities include building scalable AI solutions, deploying ML pipelines, and collaborating with cross-functional teams. Fluent English required, with opportunities for growth and learning platforms in a global environment.

Qualificações

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of hands-on C#/.NET development
• 2+ years of ML, Generative AI, or Data Science projects
• Fluent English

Responsabilidades

• Design, develop, and maintain AI-powered applications with .NET integration.
• Build and deploy ML/Generative AI pipelines for production environments.
• Translate business requirements into scalable software and AI products.
• Collaborate with Product Owners, Data Scientists, and Developers.
• Mentor junior team members and conduct code reviews.
• Implement AI governance, security, and privacy practices.
• Monitor performance and optimize models and apps.

Conhecimentos

C#/.NET

Python

ML/Generative AI

LLMs

English fluency

Data processing

Azure/AWS

Docker/Kubernetes

CI/CD

NLP/LLM tech

RAG/Vector DB

Formação académica

Bachelor's degree in CS/Engineering

Ferramentas

Docker

Kubernetes

Hugging Face

Git

MLflow

Descrição da oferta de emprego

Tata Consultancy Services (TCS) in Porto, Portugal, seeks a Senior AI Engineer with strong .NET skills and Generative AI expertise to lead AI-powered application development. The role blends software engineering with ML/AI capabilities in a hybrid work setup.

Responsibilities include building scalable AI solutions, deploying ML pipelines, and collaborating with cross-functional teams. Fluent English required, with opportunities for growth and learning platforms in a global environment.