Lynkit - Senior AI/ML Engineer - Computer Vision & Production AI

Description :

Location : Okhla Phase 1, New Delhi | 5 Days Work From Office

Experience Required :

- 6+ years overall software engineering experience

- 2+ years hands-on experience in AI / Computer Vision systems

Role Overview :

We are looking for a Senior AI/ML Engineer to design, build, and deploy production-grade AI and Computer Vision systems. This role focuses on real-world applications of vision and machine learning, from model development to scalable deployment and integration with product platforms. You will work closely with product, hardware, and data teams and provide technical leadership to junior engineers.

Key Responsibilities :

AI / Computer Vision :

- Design and develop computer vision solutions including :

- ADAS (Advanced Driver Assistance Systems)

- DMS (Driver Monitoring Systems)

- OCR and ANPR (Automatic Number Plate Recognition)

- Object detection, tracking, and video analytics

Build and optimize AI/ML models for :

- Image and video understanding

- Route planning and optimization

- Spatiotemporal and trajectory analytics

- Conversational AI and chatbot systems

- Work on vision-based vehicle/container identification, 3D modeling, and digital twins

- Optimize models for real-time and edge deployments

Production & Integration :

- Deploy AI/ML models as scalable backend services

- Design and consume REST APIs for model inference and analytics

- Integrate AI pipelines into web platforms, dashboards, and internal tools

- Collaborate with frontend engineers for visualization and user experience (no UI ownership)

Technical Leadership :

- Mentor junior engineers and review technical implementations

- Contribute to system architecture, performance optimization, and best practices

- Ensure reliability, scalability, and maintainability of AI systems in production

Required Skills :

Computer Vision :

- Strong knowledge of OpenCV, camera systems, and video streaming pipelines

- Hands-on experience with object detection, tracking, OCR, or ANPR

- Exposure to ADAS or DMS systems is a strong plus

AI / Machine Learning :

- Solid understanding of machine learning and deep learning fundamentals

- Experience with TensorFlow and/or PyTorch

- Experience with route optimization, planning algorithms, or spatiotemporal data

- Familiarity with NLP or chatbot systems is a plus

Engineering & Programming :

- Strong proficiency in Python

- Working knowledge of JavaScript / TypeScript

- Experience with C++ for performance-critical or vision components

- Experience deploying AI systems in production environments

Platforms & Tools :

- Backend services using Python or Node.js

- Cloud platforms and CI/CD pipelines

- Model monitoring and performance optimization