AI Engineer

4 days ago

Pune, Maharashtra, India Saama Full time

Description:

    As a pioneering AI Lead at Saama, you will spearhead the development of cutting-edge Generative AI applications for clinical data. With a focus on Large Language Models, you will create innovative solutions that enhance clinical business decision-making.

Responsibilities:

  1. Advance Generative AI Algorithms: Design and implement advanced Generative AI algorithms and models tailored to healthcare applications, utilizing LLMs such as GPT-3, BERT, or T5.
  2. Collaborate and Innovate: Collaborate closely with interdisciplinary teams and healthcare professionals to understand clinical data workflows and translate them into actionable technical solutions.
  3. Develop Proof of Concepts: Develop proof of concepts (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions, leveraging both open-source and private models.
  4. Implement RAG Concepts: Implement modern Retrieval Augmented Generation (RAG) concepts to enhance the generation of relevant and accurate information in clinical settings.
  5. Customer Support: Act as a technical point of contact for customers, understanding their requirements, addressing concerns, and providing technical support throughout the solution deployment phase.
  6. Architectures and Tools: Develop and optimize deep learning architectures for text generation, data synthesis, and anomaly detection in clinical datasets, ensuring compliance with regulatory standards and guidelines.
  7. Large-Scale Deployments: Utilize tools like Vectordb, Langchain, and LlamaIndex to optimize large-scale language model deployments and inference, ensuring efficiency and scalability.
  8. Stay Up-to-Date: 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.
  9. Documentation: Document solution architectures, design decisions, implementation details, and lessons learned, contributing to the documentation, dissemination, and presentation of research findings.

Qualifications:

  1. Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
  2. Experience: Extensive experience in AI, ML, and deep learning, with a focus on Generative AI applications for clinical healthcare data.
  3. Skills: Proficiency in Python programming language and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face's Transformers library.
  4. Prompt Engineering: Proficient in creating prompt templates using Langchain framework and employing various prompt engineering techniques with RAG for orchestrating API knowledge.
  5. Problem-Solving: Excellent problem-solving abilities, analytical thinking, and attention to detail.
  6. Communication: Effective communication skills, with the ability to collaborate effectively in a team environment and interact with customers.
  7. Advantageous Skills: Experience in utilizing modern LLM frameworks in Gen AI, RAG Architectures, such as langchain, llamaindex, and vectordb concepts are an advantage.
  8. Cloud Computing: Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform is plus.
  9. Healthcare Knowledge: 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:

  1. Competitive Salary: Competitive salary and comprehensive benefits package.
  2. Professional Growth: Opportunities for professional growth and career advancement.
  3. Collaborative Environment: Collaborative and inclusive work environment fostering innovation and creativity.
  4. Exciting Projects: Exciting projects at the forefront of AI-driven healthcare transformation.

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