Description

About the job
Key Responsibilities
Architect and implement full-stack AI/ML systems integrating React/Angular, Python/Node.js, 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

Key Skills

Education

Any Graduate