AI Engineer – Computer Vision & Edge AI | Trinity Consulting | Chennai (Thiruvanmiyur)

Trinity Consulting; Chennai; Vor Ort; INR 1.500.000 - 2.100.000; Vollzeit

Zusammenfassung

Trinity Consulting seeks an AI Engineer focused on Computer Vision & Edge AI to design and deploy advanced video analytics platforms in Chennai (Thiruvanmiyur). You will build real-time object detection models, optimize for low latency, and manage edge deployments on NVIDIA Jetson platforms.

You will work with Python, OpenCV, PyTorch/TensorFlow in a collaborative R&D environment, handling RTSP streams, containerized workflows, and cross-functional stakeholder coordination to deliver

Qualifikationen

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electronics Engineering, or related discipline.
• Minimum of 3+ years of hands-on experience in computer vision, deep learning, and video analytics.
• Strong expertise in Python, OpenCV, and PyTorch or TensorFlow.
• Experience with object detection, tracking, segmentation, and real-time video processing.
• Edge AI model optimization and deployment using TensorRT, DeepStream, ONNX, Triton, and NVIDIA Jetson.
• Familiarity with RTSP, Docker, Linux, GStreamer, and API integrations.
• Proven problem-solving, documentation, and cross-functional communication skills.
• Legal work authorization and availability in Chennai (Thiruvanmiyur).

Aufgaben

• Architect, develop, train, and deploy computer vision and video analytics solutions with Python, OpenCV, PyTorch, and TensorFlow.
• Implement real-time object detection, multi-object tracking, segmentation, and video processing.
• Develop Edge AI deployments using TensorRT, DeepStream, ONNX, Triton, and NVIDIA Jetson hardware.
• Process RTSP feeds across distributed camera networks and IoT edge devices.
• Optimize models for high accuracy, ultra-low latency, and production-scale performance on edge hardware.
• Manage containerized workflows with Docker and Linux utilities; build GStreamer pipelines and REST APIs.
• Troubleshoot model drift, latency bottlenecks, memory leaks, and video packet drops.
• Maintain thorough documentation, versioning, benchmarking, and architectural diagrams.

Kenntnisse

Python

OpenCV

PyTorch

TensorFlow

Real-time processing

Edge AI

Video analytics

Object detection

Multi-object tracking

Model optimization

NVIDIA Jetson

RTSP

Docker

Linux

GStreamer

REST APIs

ONNX

TensorRT

DeepStream

Triton

Ausbildung

Bachelor’s degree in Computer Science / AI / Data Science / Electronics Engineering or related

Tools

Docker

Linux

GStreamer

REST APIs

TensorRT

DeepStream

ONNX

Triton

NVIDIA Jetson

Jobbeschreibung

Position Summary

Driving advanced artificial intelligence engineering, computer vision solutions, and edge AI deployments in Chennai (Thiruvanmiyur), Trinity Consulting is actively seeking an accomplished AI Engineer – Computer Vision & Edge AI for a permanent full-time professional engagement. In this vital technical innovation role, you will architect, build, and deploy sophisticated video analytics platforms, real-time object detection models, and optimized edge AI pipelines. Bringing 3+ years of progressive professional experience in computer vision and deep learning, you will empower global enterprise systems to achieve uncompromised visual intelligence, low latency, and production-scale performance. This prestigious career opportunity offers competitive remuneration, high technical visibility, and professional growth within a premier international technology consulting and recruitment enterprise.

Detailed Job Description

As an AI Engineer – Computer Vision & Edge AI supporting Trinity Consulting on-site in Chennai (Thiruvanmiyur), you will take full operational, tactical, and technical ownership of video analytics solutions, neural network optimization, and NVIDIA Jetson hardware deployments. Your day-to-day responsibilities include building computer vision models using Python, OpenCV, PyTorch, and TensorFlow, executing real-time object detection, tracking, and segmentation, deploying models via TensorRT, DeepStream, ONNX, and Triton, and managing RTSP streams within Docker and Linux environments. You will operate in a collaborative enterprise R&D environment while partnering closely with global engineering squads and client technical stakeholders.

Key Responsibilities

• Architect, develop, train, and deploy advanced computer vision and video analytics solutions utilizing Python, OpenCV, PyTorch, and TensorFlow.
• Implement hands‑on real-time object detection, multi‑object tracking, image segmentation, and video stream processing algorithms.
• Engineer and execute high‑performance Edge AI deployments utilizing NVIDIA TensorRT, DeepStream, ONNX, Triton Inference Server, and NVIDIA Jetson hardware.
• Ingest, process, and analyze complex Real‑Time Streaming Protocol (RTSP) feeds across distributed camera networks and IoT edge devices.
• Optimize deep learning models for high operational accuracy, ultra‑low latency, and production‑scale performance on edge compute hardware.
• Administer containerized development and deployment workflows utilizing Docker, Linux server utilities, GStreamer pipelines, and REST APIs.
• Investigate, diagnose, and resolve model drift, inference latency bottlenecks, memory leaks, and video stream packet drops promptly.
• Maintain meticulous technical documentation, model version control records, benchmarking reports, and architecture topologies.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electronics Engineering, or related technical discipline.
• Minimum of 3+ years of progressive professional hands‑on experience in computer vision engineering, deep learning, and video analytics.
• Strong, demonstrable operational expertise in Python programming, OpenCV image processing, and PyTorch or TensorFlow frameworks.
• Comprehensive working knowledge and practical proficiency in object detection, tracking, segmentation, and real‑time video processing.
• Deep practical experience in Edge AI model optimization and deployment utilizing TensorRT, DeepStream, ONNX, Triton, and NVIDIA Jetson.
• Solid practical grasp of RTSP streaming protocols, Docker containerization, Linux operating systems, GStreamer, and API integrations.
• Proven analytical problem‑solving aptitude, technical documentation skills, and strong cross‑functional communication capabilities.
• Mandatory legal work authorization and physical availability for professional operations in Chennai (Thiruvanmiyur).

Nice‑to‑Have Skills

• Advanced professional certifications or specialized postgraduate studies in artificial intelligence, machine learning, or computer vision.
• Prior professional working experience in top‑tier AI product companies, computer vision startups, or intelligent surveillance enterprises.
• Hands‑on familiarity with MLOps pipelines, model registry platforms (MLflow, Weights & Biases), and CI/CD automated deployment workflows.
• Experience utilizing enterprise IT ticketing platforms (ServiceNow, Jira) and advanced GPU performance profiling tools.
• Exposure to cloud‑hosted AI inference architectures (AWS SageMaker, Azure AI) and distributed multi‑camera analytics systems.

Application Information

• Recruiter: Trinity Consulting Recruitment Division
• Contact Name: Esther (Empowering People & Business)
• Email: [e-mail]
• Phone:
• Company Website: https://www.trinityconsulting.asia
• Salary/Rate: Market Competitive / Enterprise AI Engineering Package
• Deadline: Open until filled (Urgent Chennai Computer Vision Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Engagement (Chennai – Thiruvanmiyur)