About the Opportunity
A fast-scaling AI-first tech firm building enterprise-grade generative AI and computer vision systems for global clients across healthcare, manufacturing, and logistics. We deploy production ML models—from LLM-powered agents to real-time object detection pipelines—using scalable cloud-native architectures and MLOps best practices. Our engineers ship high-impact AI solutions that drive automation, reduce costs, and enable data-driven decisions at scale.

Role & Responsibilities

- Design, train, and deploy large language models and vision systems on AWS/Azure using PyTorch, HuggingFace, and ONNX runtime.
- Build scalable inference endpoints with Kubernetes, Docker, and FastAPI for low-latency production serving.
- Optimize model performance via quantization, pruning, and distributed training across GPU clusters.




- Architect data pipelines with Apache Spark and Airflow to support continuous training and model versioning.
- Collaborate with product and frontend teams to integrate AI capabilities into customer-facing applications.
- Lead code reviews, CI/CD automation, and ML monitoring with Prometheus, Grafana, and MLflow.

Skills & Qualifications

- Must-Have
- PyTorch
- HuggingFace Transformers
- TensorFlow
- ONNX
- AWS SageMaker
- Azure ML
- Kubernetes
- Docker
- Preferred
- LangChain
- MLflow
- Apache Spark

Perks & Culture Highlights

- On-site innovation labs with latest GPU rigs and AI playgrounds
- Flexible PTO and 100% remote Fridays for deep work
- Quarterly hackathons with cash prizes and patent opportunities

📌 Senior AI Engineer (Hyderabad)
🏢 Granular Tek
📍 Hyderabad