Data Scientist Generative Ag AI Healthcare Domain (Bengaluru)

Data Scientist Generative Ag AI Healthcare Domain (Bengaluru)

21 Aug
|
Omega Healthcare
|
Bengaluru

21 Aug

Omega Healthcare

Bengaluru

Role: Data Scientist Generative & Agentic AI (Healthcare Domain)

Educational Qualification: ME / BE / MCA

Experience Required: 2+ Years

Shifts: Day Shift

Skills & Responsibilities

Experience:

2+ years of experience in Machine Learning, Deep Learning, or Generative AI, with a robust focus on healthcare software product development and medical coding automation.

Programming & Frameworks:
- Proficient in Python, with hands-on experience using Pandas, NumPy, and OOPs concepts.
- Practical experience with PyTorch, TensorFlow, Keras, and Hugging Face Transformers.
- Familiar with writing optimized SQL queries for large-scale structured clinical data.

Healthcare-Specific AI:
- Strong understanding of medical coding standards (ICD, CPT, SNOMED), EHR systems, and clinical document processing.
- Exposure to HL7, FHIR APIs, and privacy regulations like HIPAA is an added advantage.

Generative AI & NLP:
- Experience working with LLMs, GANs, VAEs, and Diffusion Models in healthcare use cases (e.g., clinical summarization, automated coding, documentation assistance).




- Familiar with Azure OpenAI, AWS Bedrock, DALL•E, and Stable Diffusion platforms.
- Strong grasp of NLP techniques such as Named Entity Recognition (NER), token classification, contextual embeddings, and deep learning models like RNN, LSTM, GRU.

Agentic AI & Autonomous Workflows:
- Experience or familiarity with building agentic systems using LangChain, AutoGen, or CrewAI for orchestrating multi-step tasks (e.g., claim validation, document parsing).
- Ability to integrate autonomous agents with tool-based systems and APIs to enhance workflow efficiency.

Machine Learning & Statistical Modeling:
- Expertise in supervised and unsupervised ML, including Random Forest, SVM, Boosting, Bagging, Regression, and Clustering methods.
- Strong capability in feature engineering, model training, and cross-validation for healthcare data.

MLOps, Deployment & Data Integration:
- Experience with cloud platforms such as AWS

📌 Data Scientist Generative Ag AI Healthcare Domain (Bengaluru)
🏢 Omega Healthcare
📍 Bengaluru

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