Description

You will design and drive the technical architecture for conversational AI solutions.

Responsibilities

• Design end-to-end conversational AI solutions across chat, voice, and multimodal interfaces.
• Define and drive the technical architecture for Python-based AI/ML applications.
• Lead the adoption and integration of Generative AI frameworks into enterprise solutions.
• Architect scalable, secure systems using Django/Flask and modern frameworks.
• Design ML pipelines, model deployment strategies, and necessary API integrations.

Required Skills

• 10+ years of experience in AI/ML architecture.
• Hands-on experience with Generative AI, including LLMs, GPT, diffusion models, and embeddings.
• Deep expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong background in architectural design patterns, microservices, and cloud-native solutions.
• Proficiency with AWS for hosting AI/ML workloads.
• Experience in data engineering, including ETL and big data frameworks.
• Experience architecting solutions using Django or Flask.

Key Skills

Education

Any Graduate