Job summary
Develop and deploy AI/ML solutions using Generative AI, Large Language Models, and machine learning techniques.
Build applications using RAG, prompt engineering, NLP, and deep learning.
Develop Python-based services and integrate AI models through APIs.
Work across the AI/ML development lifecycle, from solution design and testing to deployment.

Key responsibilities
Develop and integrate Generative AI and LLM-based applications.
Implement Retrieval-Augmented Generation (RAG) workflows.
Design and optimize prompts and evaluate model performance.
Build machine learning and deep learning solutions, including NLP applications.
Develop Python-based applications, APIs, and system integrations.
Use PyTorch or TensorFlow to build and implement AI/ML models.
Test, validate, deploy, and maintain AI/ML solutions.
Collaborate with engineering and business teams to translate requirements into AI solutions.
Explore automotive use cases and apply AI/ML techniques where relevant.

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