AI Architect: LLMs, MLOps & Data Platform Leader

Tata Consultancy Services Limited; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Tata Consultancy Services Limited is seeking experienced professionals in Singapore to design and deploy large language model solutions and RAG pipelines. You will train and fine-tune models, implement vector databases, and build scalable LLM-enabled applications within enterprise architectures.

You will work with cloud AI services, Kubernetes, and MLOps practices to ensure secure, observable, and compliant deployments across business units.

Competenze

• Hands-on Python and at least one of Java or .NET.
• Experience building LLM solutions and RAG pipelines.
• Ability to train or fine-tune custom LLMs, not just use APIs.
• Experience with vector databases and embeddings (FAISS, Pinecone, pgvector).
• Familiar with Delta Lake/Lakehouse and modern data platforms.
• Experience with multi-turn dialogue systems and state handling at scale.
• Exposure to cloud AI services (Azure, AWS, Google) and containerization (Docker/Kubernetes).
• Knowledge of MLOps (MLflow, Kubeflow, CI/CD, model registries).
• Understanding of enterprise integration, API-first design, microservices.
• Knowledge of security, governance, Responsible AI, data privacy, threat modeling.

Conoscenze

Python

Java

.NET

LLM pipelines

Prompt engineering

LangChain

LlamaIndex

RAG

Evaluation metrics

Red-teaming

Fine-tuning

Vector databases

FAISS

Pinecone

pgvector

Delta Lake

Lakehouse

Kubernetes

Cloud AI services

Azure OpenAI

Azure AI Search

AWS Bedrock

SageMaker

Vertex AI

Model training

MLOps

CI/CD

Model registries

Observability

Security & governance

Responsible AI

Data privacy

Threat modeling

Strumenti

LangChain

LlamaIndex

FAISS

Pinecone

Delta Lake

Lakehouse

Kubernetes

Azure OpenAI

Azure AI Search

AWS Bedrock

SageMaker

Vertex AI

MLflow

Kubeflow

CI/CD tools

Descrizione del lavoro

Tata Consultancy Services Limited is seeking experienced professionals in Singapore to design and deploy large language model solutions and RAG pipelines. You will train and fine-tune models, implement vector databases, and build scalable LLM-enabled applications within enterprise architectures.

You will work with cloud AI services, Kubernetes, and MLOps practices to ensure secure, observable, and compliant deployments across business units.