We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.
Key Responsibilities
- Model Development & Optimization
- Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
- Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
- Optimize inference speed and accuracy for real-time video processing on GPUs.
- Video Analytics & Tracking
- Develop multi-camera object-tracking algorithms across disparate video sources.
- Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
- Infrastructure & Deployment
- Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
- Automate CI/CD pipelines for model training, evaluation, and deployment.
- Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
- Collaboration & Documentation
- Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
- Write clear technical documentation, API specs, and best-practice guides.
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
- 2-3+ years hands-on experience with:
- YOLOv8 or YOLOv11 (training, inference, transfer learning)
- Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
- Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
- Strong Linux skills: server provisioning, SSH, shell scripting.
- Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
- Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).
Preferred Qualifications
- Familiarity with video-streaming protocols (RTSP/WebRTC).
- Knowledge of microservices architecture and API gateways.
- Exposure to MLOps platforms (MLflow, Kubeflow).
- Strong debugging, profiling, and performance-tuning abilities.

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Necessary system architecture development and implementation
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Greetings from FR8 (New Olog Logistics Pvt Ltd) !!
At FR8, we leverage technology bringing India's fleet of trucks to a mobile APP platform for easy connectivity. We make trucking reliable, low-cost and simple for our customers and truck owners, by providing transparent pricing, quality service and real-time tracking using GPS. Please read about us here: http://www.fr8.in/" target="_blank">www.fr8.in.
Job Description - Full Stack Architect
- Building interactive consumer data from multiple systems and RESTfully abstract to the UI through a Node.js backend
- Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
- Address and improve any technical issues
- Collaborate well with Engineers, Architects, Managers to design and create advanced, elegant and efficient systems
Requirements :
- Proven 2+ years of relevant experience
- Hands-on experience in Javascript
- Expertise knowledge in React JS, Node JS & SQL
Do you want to impact the lives of millions through your work? Do you learn, grow and create something unique?
Come join us, one of the fastest growing start-ups and live your dreams of making a difference.
To know more visit,
YouTube : https://www.youtube.com/c/FR8in" target="_blank">https://www.youtube.com/c/
Facebook :https://www.facebook.com/fr8.in" target="_blank">https://www.facebook.com/fr8.
LinkedIn: https://in.linkedin.com/company/fr-8" target="_blank">https://in.linkedin.
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applications of own judgement. Responsible for delivering results that have direct impact |
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on the achievement of results within the job area as an Individual Contributor. |
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assigned projects. |
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- Involved in entire SDLC lifecycle including analysis, development, fixing and monitoring of issues on the assigned product lines.
- Meets and exceeds standards for the quality and timeliness of the work products.
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- Ensure robust, securely accessible, highly available and highly scalable product that meets or exceeds customer and end-user expectations
Experience
Technical Duties & Responsibilities
3 – 6 Years
With 2-4 years of experience in Scalable Architecture development. We are looking for Independent Contributors, who have good understanding of Microservices based architecture, and a comprehensive awareness of various architectures & their suitability as per product requirements: -
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