Experience: 6–10 years | Location: Hyderabad | Full-time
About TRiDE
TRiDE develops real-time, scalable platforms for railways and aviation, enabling predictive insights, automation, and intelligent decision systems using AI/ML, IoT, and Computer Vision.
Role
Build and deploy production AI systems using ML, LLMs (RAG), Computer Vision, IoT data, and GPU workloads.
What You’ll Do
Develop models for prediction, anomaly detection, optimization
Build LLM applications (RAG, copilots, search)
Work with real-time/streaming data
Create pipelines: data → training → deployment → monitoring
Deploy via APIs/microservices
Build Computer Vision solutions
Optimize for latency, scale, cost
Use GPU environments for training/inference
What You Bring
Python + ML stack (NumPy, Pandas, Scikit-learn)
PyTorch / TensorFlow
LLMs, RAG, vector DBs (FAISS/Pinecone)
GPU experience (training, inference optimization)
API development (FastAPI/Flask)
Cloud: AWS/Azure/GCP, Docker
MLOps basics
Must-Have
2–3 enterprise AI/ML projects (production)
Experience with real-time / large-scale systems
Nice to Have
Computer Vision / NLP
IoT / industrial data
Kafka / Spark / Airflow
Job Type: Full-time
Pay: ₹500,000.00 - ₹1,000,000.00 per year
Benefits:
Work Location: In person
