Description

You will design and implement agentic functions for industrial quality inspection workflows, integrating sensors and developing Gen AI use cases on cloud or edge platforms.

This role is on-site.

Responsibilities

• Define agentic functions for industrial quality inspection workflow design.
• Establish LLM and AI baseline frameworks using open source models like Llava.
• Customize visual inspection models for specific environments and descriptive outcomes.
• Execute prompt engineering for visual inspection and third-party defect evaluation.

Required Skills

• 16+ years of experience in Gen AI, ML, and LLM model training.
• Expertise in LLM fine-tuning, RAG implementation, and dataset curation.
• Proficiency in Python, TensorFlow, and PyTorch.
• Deep understanding of NLP, neural networks, and ML engineering.
• Experience deploying models on GCP, AWS, or Azure.
• Hands-on work with private servers, edge AI tools, or NVIDIA libraries.
• Knowledge of software development methodologies.

Preferred Skills

• Experience with sensor integration for automated inspection.

Key Skills

Education

Any Gradute