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Data Scientist with LLM and Healthcare Expertise

Keywords: Data Scientist, LLM, Radiology, Healthcare, Machine Learning, Deep Learning, AI, Python, TensorFlow, PyTorch, Scikit-learn, Data Analysis, Medical Imaging, Clinical Data, HIPAA, FDA.

Responsibilities:

·      Develop and deploy advanced machine learning models, particularly focusing on Large Language Models (LLMs) and their application in the healthcare domain.

·      Leverage your expertise in radiology, visual images, and text data to extract meaningful insights and drive data-driven decision-making.

·      Collaborate with cross-functional teams to identify and address complex healthcare challenges.

·      Conduct research and explore new techniques to enhance the performance and efficiency of our AI models.

·      Stay up-to-date with the latest advancements in machine learning and healthcare technology.

Qualifications:

·      Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

·      6+ years of hands-on experience in data science and machine learning.

·      Strong proficiency in Python and popular data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

·      Deep understanding of LLM architectures, training methodologies, and applications.

·      Expertise in working with radiology images, visual data, and text data.

·      Experience in the healthcare domain, particularly in areas such as medical imaging, clinical data analysis, or patient outcomes.

·      Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

·      PhD in Computer Science, Data Science, or a related field.

·      Experience with cloud platforms (e.g., AWS, GCP, Azure).

·      Knowledge of healthcare standards and regulations (e.g., HIPAA, FDA).

·      Publications in relevant academic journals or conferences.

We maintain a corporate culture and are committed to excellence in our endeavours. We think as innovators, act as solution providers, collaborate as partners, work as outperformers. We believe in teamwork, employee engagement & employee empowerment. At Manorama the best practices are rewarded in business, from strategy to team leadership, influence, innovation, product management, and client services. We train our team to revamp their skills and competency for better administration and operations.

We are an equal opportunity employer, supporting diversity, equality & dignity. We have best of talents and skilled team working for our Organisation. We have multiple openings for various roles in our organisation. We welcome go getters with passion for creativity, talent to explore, zeal for excellence and most importantly a passion for IT.