Senior Machine Learning Engineer

AI/ML Engineer

Requirements and Qualifications:

• Have 3+ years of full-time experience in the industry.
• Have 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.
• 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. Ensure 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

Your Responsibilities:

• Develop new LLMs for medical imaging based on state-of-the-art LLMs
• 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.