Creative Generative AI Specialist

2 weeks ago

moradabad, India beBeeArtificial Full time

Job OverviewAs a leading Gen AI Engineer, you will play a pivotal role in conceptualizing, developing, and implementing cutting-edge generative artificial intelligence models and systems. Your expertise will contribute to creating AI-powered solutions that generate high-quality clinically relevant texts while pushing the boundaries of creativity and innovation.You will collaborate closely with cross-functional teams to deliver AI-driven products that reshape healthcare industries and user experiences.This role requires a deep understanding of machine learning, neural networks, and generative modeling techniques.Your responsibilities include:Developing new LLMs for medical imaging.Developing and implementing methods that improve training efficiency and extend or improve LLM capabilities, reliability, and safety in the realm of image-to-text generation using medical data.Performing data preprocessing, indexing, and feature engineering specific to healthcare image and text data.Staying up-to-date with research literature and thinking beyond the state of the art to address the needs of our users.Key Qualifications3+ years of full-time industry experience.Hands-on experience in contemporary AI, such as training generative AI models like LLMs and image-to-text models, improving upon pre-trained models, evaluating these models, feedback loop etc.Specialized expertise in model fine-tuning, RLHF, RAG, LLM tool use, etc.Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures.Proficiency in Python, PySpark, TensorFlow, PyTorch, Keras, Transformer, and cloud platforms like Google Cloud Platform (GCP) or Vertex AI or similar platforms.Collaborating with software engineers to integrate generative models into production systems ensuring scalability, reliability, and efficiency of the deployed models.Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings.

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