AI Lead

4 weeks ago

Pune, Maharashtra, India Saama Full time

Job Title: AI Lead - Clinical Data Specialist

Job Summary:

We are seeking an experienced AI Lead to join our team at Saama, where you will play a pivotal role in developing innovative solutions that leverage cutting-edge Large Language Models (LLMs) to revolutionize clinical business decision-making.

Key Responsibilities:

  • Design and implement 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.

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.

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