Job Description
Welcome to Vertigo Technologies, the architects of tomorrow. We are a fast-paced, innovative AI research lab focused on defining the 2026 AI Landscape. We are seeking a visionary Senior AI/ML Architect to spearhead the development of our next-generation Agentic AI systems.
The Role
In this pivotal position, you will not just build models; you will architect the infrastructure that will define how businesses operate in 2026 and beyond. You will bridge the gap between cutting-edge research and production-grade scalability, ensuring our solutions remain at the forefront of the industry.
What You Will Do
As a Senior Architect, you will lead high-impact initiatives focused on:
- Architecting scalable Large Language Model (LLM) pipelines for real-time enterprise deployment.
- Developing and optimizing RAG (Retrieval-Augmented Generation) frameworks to enhance accuracy.
- Leading research into Generative AI and autonomous agent workflows for 2026.
- Designing low-latency inference systems capable of handling millions of requests.
- Establishing robust MLOps strategies and monitoring protocols for model health.
- Collaborating with cross-functional teams to integrate AI deeply into product ecosystems.
Qualifications
- 5+ years of professional experience in Machine Learning or Artificial Intelligence Engineering.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of fine-tuning and deploying large-scale LLMs.
- Strong command of cloud infrastructure (AWS, GCP, or Azure).
- Experience with vector databases and semantic search technologies.
- Ability to translate complex technical concepts into actionable product strategies.
Responsibilities
- Design and deploy scalable LLM pipelines for real-time inference.
- Lead research initiatives in RAG (Retrieval-Augmented Generation) and multi-modal learning.
- Optimize model performance for edge deployment and latency reduction.
- Collaborate with product teams to integrate AI capabilities into enterprise workflows.
- Establish MLOps best practices and monitoring protocols.
Qualifications
- 5+ years of experience in Machine Learning or Artificial Intelligence engineering.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of fine-tuning large language models (LLMs).
- Experience with cloud infrastructure (AWS, GCP, or Azure).
- Strong understanding of Generative AI architectures.