About the Prospect
A dynamic, innovation-driven tech firm operating at the intersection of artificial intelligence and enterprise software solutions, we build scalable AI systems that power decision automation, predictive analytics, and intelligent workflows for global clients. Our AI Engineers ship production-grade models, optimize inference pipelines, and bridge the gap between research and real-world business impact—all while working with contemporary ML stacks and cloud architectures.

Role & Responsibilities
Design, train, and deploy machine learning models for real-time classification, regression, and NLP tasks in production environments.
Optimize model inference latency and throughput using ONNX, TensorRT, or similar acceleration frameworks.
Collaborate with data engineers to build feature pipelines and integrate model outputs into microservices and APIs.
Implement MLOps practices—version control for models, automated testing,



CI/CD pipelines for ML deployments.
Monitor model drift, set up alerting, and orchestrate retraining cycles using tools like MLflow or SageMaker.
Support research-to-production efforts by converting experimental notebooks into robust, maintainable codebases.

Skills & Qualifications
Must-Have
Python
PyTorch
TensorFlow
Scikit-learn
ONNX
MLflow
SageMaker
Docker
Preferred
TensorRT
Kubeflow
LangChain

Benefits & Culture Highlights
Work on high-impact AI products with global clients and real-world business outcomes.
On-site innovation lab environment with up-to-date engineering tools and collaboration spaces.
Continual learning culture with access to AI conferences, courses, and internal tech talks.

📌 Ai Engineer Hyderabad (India)
🏢 Granular Tek
📍 India