AI Model Developer

5 days ago


vellore, India beBeeGenerative Full time

As a leading expert in artificial intelligence, you will play a pivotal role in shaping the future of generative models and systems.Your expertise will drive the development of AI-powered solutions that generate high-quality clinically relevant texts, pushing the boundaries of creativity and innovation. You will collaborate closely with cross-functional teams to deliver AI-driven products that redefine healthcare industries and user experiences.This role requires a deep understanding of machine learning, neural networks, and generative modeling techniques. Key responsibilities include developing new large language models (LLMs) for medical imaging, improving training efficiency, and extending or enhancing LLM capabilities, reliability, and safety in image-to-text generation using medical data.To excel in this position, you should possess:Hands-on experience in contemporary AI, including training generative AI models, evaluating these models, and implementing feedback loops.Specialized expertise in model fine-tuning, reinforcement learning from human feedback (RLHF), retrieval-augmented generation (RAG), and LLM tool use.Proficiency in Python, PySpark, TensorFlow, PyTorch, Keras, Transformer, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI.Able to collaborate with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and efficiency of deployed models.In addition, we seek candidates with:A master's degree in a quantitative field, such as computer science or data science.Experience with effective data visualization approaches and a keen eye for detail in visual communication.We offer a market-competitive salary and encourage interested candidates to send their CVs to hr@telerapps.com.Job RequirementsData Preprocessing and Feature Engineering: Perform data preprocessing, indexing, and feature engineering specific to healthcare image and text data.Research and Development: Keep up to date with the research literature and think beyond the state of the art to address the needs of our users.


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