Data Scientist - Healthcare AI

Client based at Bangalore location.

Data Scientist - Healthcare AI

Rohini IT Consulting LLP

Company

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Data Scientist - Healthcare AI

at Client based at Bangalore location.

Agency job

via Rohini IT Consulting LLP

4 - 7 yrs

₹15L - ₹50L / yr

Remote, Bengaluru (Bangalore)

Skills

Large Language Models (LLM)

Deep Learning

Natural Language Processing (NLP)

Machine Learning (ML)

Python

Image Processing

llm multi model

data scientists

classical model

cancer research

Research and development

Healthcare

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.

Data Scientist - Healthcare AI

Location: Bangalore, India

Experience: 4+ years

Skills Required: Radiology, visual images, text, classical models, LLM multi-modal

Responsibilities:

· 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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