AI/ML Architect
2 days ago
Key Responsibilities
Architect and implement
full-stack AI/ML systems
integrating React/Angular, , REST APIs, RAG pipelines, and agentic frameworks (LangChain, AutoGen).
Build
distributed, microservice-based AI architectures
using event-driven systems and containerization on
Azure
(primary) and AWS (secondary).
Develop advanced ML/DL models including
GPT, BERT, CNNs, RNNs, GANs
for NLP, CV, and multimodal use cases.
Design
LLM prompt engineering
, few-shot learning, RAG optimization, and prompt tuning workflows.
Lead data pipelines using
Spark, Pandas, MLFlow
, and perform feature engineering + data augmentation.
Establish robust
model observability frameworks
(Prometheus, Grafana) for drift detection and lifecycle management.
Apply model optimization techniques such as
quantization & pruning
for low-latency inference.
Ensure AI system security via
RBAC, encryption (TLS, AES)
, and compliance with
GDPR, HIPAA, ISO/IEC 27001
.
Conduct technical feasibility studies, PoCs, cost estimation, and risk analysis.
Drive Agile execution, documentation excellence, and stakeholder communication.
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