Description

You will architect and implement full-stack AI/ML systems, integrating frontend frameworks with backend logic and advanced ML pipelines.

This role is on-site.

Responsibilities

• Architect and implement full-stack AI/ML systems using React/Angular, Python/Node.js, and REST APIs.
• Build distributed, microservice-based AI architectures using event-driven systems and containerization on Azure and AWS.
• Develop advanced ML/DL models (GPT, BERT, CNNs, RNNs, GANs) for NLP, CV, and multimodal use cases.
• Design LLM prompt engineering, few-shot learning, RAG optimization, and agentic frameworks (LangChain, AutoGen).
• Establish model observability frameworks for drift detection and lifecycle management, ensuring security via RBAC and encryption.

Required Skills

• 5+ years of experience in AI/ML architecture and full-stack development.
• Proficiency in React or Angular, and Python or Node.js.
• Experience with RAG pipelines and agentic frameworks like LangChain and AutoGen.
• Strong background in data pipelines using Spark, Pandas, and MLFlow.
• Knowledge of REST APIs and microservices architecture.
• Experience with Azure (primary) and AWS (secondary) cloud platforms.
• Understanding of model optimization techniques such as quantization and pruning.

Preferred Skills

• Experience with model observability tools like Prometheus and Grafana.
• Familiarity with GDPR, HIPAA, and ISO/IEC 27001 compliance standards.

Key Skills

Education

Any Graduate