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 Reliable 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.
Robust 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