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AI Consultant Agentic AI & Computer Vision

  • Source: Naukri
  • Saanvi Nexus
  • $20,932.54 to $26,165.68 /yr
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

AI Consultant Agentic AI & Computer Vision Location: Hyderabad (Work from Office) Employment Type: Full-Time Payroll: UnionSys Technologies Experience: 3-5 Years Job Summary We are looking for a highly skilled AI Consultant – Agentic AI & Computer Vision with 4–8 years of hands-on experience in designing, developing, and deploying AI-powered solutions. The ideal candidate should have strong expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and Computer Vision, along with experience building production grade AI applications for enterprise or industrial use cases. Key Responsibilities • Design and optimize deep learning models for image classification, object detection, image segmentation, and visual anomaly detection. • Build Agentic AI applications using LangGraph, LangChain, OpenAI SDK, or similar frameworks. • Develop multimodal AI solutions, document intelligence, report generation, and workflow automation. • Train, fine-tune, evaluate, and deploy deep learning models. • Develop computer vision pipelines for industrial automation and quality inspection. • Perform image/text preprocessing and model evaluation. • Optimize AI models for scalable production deployment. • Collaborate with product, engineering, and QA teams. • Participate in architecture discussions, R&D, and PoCs. • Maintain technical documentation and monitor AI model performance. Required Skills Education: • Master’s degree or higher in Computer Science, AI, Data Science, Machine Learning, or related field. Technical Skills: • Python, PyTorch, TensorFlow • NumPy, Pandas, Scikit-learn, OpenCV • LLMs (GPT, Llama, BERT), Prompt Engineering, Fine-tuning, RAG • LangGraph, LangChain, OpenAI SDK • Computer Vision and CNNs • GCP, Docker, Kubernetes, REST APIs • MLOps familiarity • Large structured and unstructured data processing Preferred Qualifications • 4–8 years of AI/ML industry experience. • Experience in manufacturing, industrial automation, or quality inspection. • Exposure to multimodal AI, edge AI, and real-time inference. Nice-to-Have Skills • MLOps pipeline automation • TensorRT, ONNX • Model compression and quantization • Edge AI deployment • Hyperspectral/optical imaging • Multi-language NLP Soft Skills • Strong analytical and problem-solving skills • Excellent communication • Team player with continuous learning mindset Preferred Experience • AI-driven defect detection • Quality inspection automation • Agentic AI workflow automation • Intelligent document processing • Multimodal AI solutions • Industrial AI and real-time inference

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