Role Overview
We are looking for a passionate AI Engineer to join our product development team. You will be responsible for designing, developing, and deploying AI-powered solutions for enterprise applications in the apparel manufacturing industry. The role involves working with Computer Vision, Machine Learning, Large Language Models (LLMs), Generative AI, and intelligent automation. This is an opportunity to build production-grade AI systems rather than experimental prototypes.
Responsibilities
- Design, develop, and deploy AI solutions for real-world business applications.
- Build and optimize Computer Vision models for image detection, classification, segmentation, and object detection.
- Develop AI-powered automation workflows using Python.
- Train, fine-tune, and evaluate Machine Learning and Deep Learning models.
- Work with LLMs, RAG pipelines, AI agents, and prompt engineering.
- Integrate AI models with PHP Laravel, REST APIs, and MySQL databases.
- Optimize AI inference performance for production environments.
- Collaborate with software developers to integrate AI into enterprise applications.
- Research and implement the latest AI technologies and frameworks.
- Document AI architectures, datasets, and deployment processes.
Requirements
- Strong proficiency in Python.
- Experience with Machine Learning and Deep Learning.
- Hands-on experience with TensorFlow, PyTorch, or Ultralytics YOLO.
- Experience in Computer Vision using OpenCV.
- Knowledge of image annotation and dataset preparation.
- Experience with LLMs such as GPT, Llama, Qwen, or similar models.
- Understanding of RAG, vector databases, embeddings, and AI agents.
- Experience integrating AI models with REST APIs.
- Knowledge of SQL/MySQL.
- Familiarity with Git and collaborative development workflows.
Preferred Skills
- Experience with OCR and document intelligence.
- Experience with Docker and Linux environments.
- Knowledge of ONNX, TensorRT, or model optimization.
- Experience with cloud AI deployment.
- Understanding of manufacturing, industrial automation, or ERP systems.
- Experience with MLOps and model deployment pipelines.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 2+ years of hands-on AI development experience preferred.
- Freshers with exceptional AI project portfolios are also encouraged to apply.