Senior AI & Computer Vision Engineer

INTELERA AI PRIVATE LIMITED; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

INTELERA AI PRIVATE LIMITED is hiring a Senior AI & Computer Vision Engineer to own the ML lifecycle from data pipelines to real-time inference. You will build real-time CV and video analytics solutions, deploy models on edge/cloud via ONNX/TensorRT/OpenVINO, and develop scalable Python/FastAPI APIs.

You will work with LLMs/VLMs, RAG pipelines, and vector databases, using PyTorch, OpenCV and related tools, while optimizing performance for production systems.

Qualifications

• Hands-on experience in building real-time Computer Vision and Video Analytics solutions.
• Strong proficiency in Python, PyTorch, OpenCV and related libraries.
• Experience with YOLOv8/YOLOv11, DeepStream/GStreamer, and RTSP/WebRTC.
• Familiarity with LLMs/VLMs, RAG, LangChain or LlamaIndex, and vector databases.

Responsibilities

• Develop real-time CV and video analytics solutions including detection, tracking, segmentation, and anomaly detection.
• Build LLM/VLM applications with RAG pipelines and multimodal capabilities.
• Fine-tune and optimize models (YOLO, transformers) and deploy with ONNX, TensorRT, OpenVINO.
• Create scalable inference APIs and microservices using Python/FastAPI.

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

Education

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

Tools

Docker

FastAPI

Triton

TorchServe

ONNX

TensorRT

OpenVINO

Job description

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.