Senior AI & Computer Vision Engineer

Job Summary:

We are hiring a Senior AI & Computer Vision Engineer with strong hands-on expertise in Computer Vision, Video Analytics, Generative AI, LLMs/VLMs, and production-grade AI deployment. The role involves owning the complete ML lifecycle from data pipelines and model development to optimization, deployment, and real-time inference.

Key Responsibilities:

Develop real-time Computer Vision and Video Analytics solutions for detection, tracking, segmentation, and anomaly detection.

Build LLM/VLM applications including RAG pipelines, multimodal AI and agentic workflows.

Fine-tune and optimize models such as YOLO and Transformer architectures.

Deploy and optimize models using ONNX, TensorRT, OpenVINO and edge/cloud platforms.

Develop scalable AI inference APIs and microservices using Python/FastAPI.

Work with vector databases such as ChromaDB, Pinecone and pgvector.

Design data curation, annotation QC and model evaluation pipelines.

Work with RTSP/WebRTC video streams and real-time inference systems.

Required Skills:

Advanced Python

PyTorch, OpenCV, torchvision, NumPy/SciPy

YOLOv8/YOLOv11

DeepStream / GStreamer

SORT / DeepSORT

Facial Recognition

RTSP / WebRTC

LLMs / VLMs / RAG

LangChain / LlamaIndex

Vector Databases

Docker

FastAPI / Triton / TorchServe

ONNX, TensorRT, OpenVINO

Model quantization and optimization

Good to Have:

NVIDIA Jetson

AMD Xilinx Kria / Zynq MPSoC

Synthetic data generation

Diffusion-based AI pipelines

Education: B.Tech/M.Tech in CSE, ECE, Data Science or related technical discipline.

Keywords: Artificial Intelligence, Computer Vision, Machine Learning, Deep Learning, Generative AI, LLM, VLM, RAG, YOLO, PyTorch, OpenCV, DeepStream, GStreamer, TensorRT, ONNX, FastAPI, Python, Docker, Video Analytics.

Please send Your Resumes to [email removed] and [email removed]