AI Researchers
Description
Job Description:
Join our dynamic team at Saama, where you'll be at the forefront of transforming business through advanced AI technologies. As an AI Engineer specializing in Generative AI applications for clinical data, you will play a pivotal role in developing innovative solutions that leverage cutting-edge Large Language Models (LLMs) to revolutionize clinical business decision-making. Your expertise will be instrumental in building custom solutions and effectively interacting with customers to address their needs.
Responsibilities:
- Spearhead the research, design, and implementation of advanced Generative AI algorithms and models tailored to healthcare applications, utilizing LLMs such as GPT-3, BERT, or T5.
- Collaborate closely with interdisciplinary teams and healthcare professionals to understand the intricacies of clinical data workflows and translate them into actionable technical solutions.
- Develop proof of concepts (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions, leveraging both open-source and private models.
- Implement modern Retrieval Augmented Generation (RAG) concepts to enhance the generation of relevant and accurate information in clinical settings.
- Act as a technical point of contact for customers, understanding their requirements, addressing concerns, and providing technical support throughout the solution deployment phase.
- Develop and optimize deep learning architectures for text generation, data synthesis, and anomaly detection in clinical datasets, ensuring compliance with regulatory standards and guidelines.
- Utilize tools like Vectordb, Langchain, and LlamaIndex to optimize large-scale language model deployments and inference, ensuring efficiency and scalability.
- Stay up to date with the latest advancements in Generative AI frameworks and methodologies, evaluating emerging technologies and tools to enhance solution design and implementation.
- Document solution architectures, design decisions, implementation details, and lessons learned, contributing to the documentation, dissemination, and presentation of research findings.
Qualifications:
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
- Extensive experience in AI, ML, and deep learning, with a focus on Generative AI applications for clinical healthcare data, .
- Proficiency in Python programming language and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face's Transformers library.
- Proficient in creating prompt templates using Langchain framework and employing various prompt engineering techniques with RAG for orchestrating API knowledge.
- Excellent problem-solving abilities, analytical thinking, and attention to detail.
- Effective communication skills, with the ability to collaborate effectively in a team environment and interact with customers.
- Experience in utilizing modern LLM frameworks in Gen AI, RAG Architectures, such as langchain, llamaindex, and vectordb concepts are an advantage.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform is plus.
- Familiarity with healthcare data standards, clinical workflows, and regulatory requirements, especially in the context of data collection to CSR submission stages is a plus.
Benefits:
- Competitive salary and comprehensive benefits package
- Opportunities for professional growth and career advancement
- Collaborative and inclusive work environment fostering innovation and creativity
- Exciting projects at the forefront of AI-driven healthcare transformation