Lead Generative Model Developer

7 days ago

lucknow, India beBeeArtificialIntelligence Full time

Generative AI EngineerJob Description:In this role, you will play a pivotal part in shaping the future of artificial intelligence by designing, developing, and implementing cutting-edge generative models and systems. Your expertise will be instrumental in creating innovative solutions that generate high-quality clinically relevant texts, pushing the boundaries of creativity and innovation.As a key member of our team, you will collaborate closely with cross-functional teams to deliver AI-driven products that revolutionize healthcare industries and user experiences.This position requires a deep understanding of machine learning, neural networks, and generative modeling techniques.Required Skills and Qualifications:Have 3+ years of full-time industry experience.Have hands-on experience in contemporary AI, including training generative AI models, improving upon pre-trained models, evaluating these models, and feedback loop etc.Have specialized expertise in model fine-tuning, RLHF, RAG, LLM tool use, etc.Have experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures.Have proficiency in Python, PySpark, TensorFlow, PyTorch, Keras, Transformer, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI or similar platforms.Have to collaborate with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and efficiency of the deployed models.Have experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings.Responsibilities:Develop 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.Perform data preprocessing, indexing, and feature engineering specific to healthcare image and text data.Keep up to date with the research literature and think beyond the state of the art to address the needs of our users.Preferred Qualifications:Master's degree in a quantitative field such as Computer Science or Data Science.

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