Purple Drive
Job Description:
We are seeking a highly skilled GenAI Engineer to join our team and drive the design, development, and deployment of advanced Generative AI solutions.
The ideal candidate will have a strong background in machine learning, natural language processing, and large language models (LLMs), with hands-on experience building and fine-tuning AI models for real-world applications.
Key Responsibilities:
Design, develop, and optimize Generative AI models and frameworks. Implement and fine-tune Large Language Models (LLMs) for diverse use cases. Collaborate with cross-functional teams to integrate AI solutions into products and platforms. Conduct research and experimentation to improve performance, scalability, and efficiency. Ensure compliance with ethical AI practices and data privacy standards. Requirements:
Proven experience with Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of machine learning, NLP, and generative AI architectures (e.g., transformers, diffusion models). Experience in prompt engineering, model fine-tuning, and API integration. Solid background in data engineering, model evaluation, and MLOps practices. Excellent problem-solving skills with the ability to translate business needs into AI solutions.
We are seeking a highly skilled GenAI Engineer to join our team and drive the design, development, and deployment of advanced Generative AI solutions.
The ideal candidate will have a strong background in machine learning, natural language processing, and large language models (LLMs), with hands-on experience building and fine-tuning AI models for real-world applications.
Key Responsibilities:
Design, develop, and optimize Generative AI models and frameworks. Implement and fine-tune Large Language Models (LLMs) for diverse use cases. Collaborate with cross-functional teams to integrate AI solutions into products and platforms. Conduct research and experimentation to improve performance, scalability, and efficiency. Ensure compliance with ethical AI practices and data privacy standards. Requirements:
Proven experience with Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of machine learning, NLP, and generative AI architectures (e.g., transformers, diffusion models). Experience in prompt engineering, model fine-tuning, and API integration. Solid background in data engineering, model evaluation, and MLOps practices. Excellent problem-solving skills with the ability to translate business needs into AI solutions.