Data Scientist - Healthcare AI
at Client based at Bangalore location.
Data Scientist - Healthcare AI
Location: Bangalore, India
Experience: 4+ years
Skills Required: Radiology, visual images, text, classical models, LLM multi-modal
Responsibilities:
· LLM Development and Fine-tuning: Fine-tune and adapt large language models (e.g., GPT, Llama2, Mistral) for specific healthcare applications, such as text classification, named entity recognition, and question answering.
· Data Engineering: Collaborate with data engineers to build robust data pipelines for large-scale text datasets used in LLM training and fine-tuning.
· Model Evaluation and Optimization: Develop rigorous experimentation frameworks to assess model performance, identify areas for improvement, and inform model selection.
· Production Deployment: Work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.
· Predictive Model Design: Leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models).
· Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions.
· Knowledge Sharing: Mentor junior team members and stay up-to-date with the latest advancements in machine learning and LLMs.
Qualifications:
· Doctoral or master's degree in computer science, Data Science, Artificial Intelligence, or related field.
· 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.
· 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).
· Experience working with cloud-based platforms (AWS, GCP, Azure).
Preferred Qualifications:
o Experience working in the healthcare domain, particularly oncology.
o Publications in relevant scientific journals or conferences.
o Degree from a prestigious university or research institution.
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