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Principal Data Scientist

Company:
Mademe
Location:
Bengaluru, Karnataka, India
Pay:
25-30 LPA
Posted:
February 18, 2026
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Description:

Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)

Location: Bengaluru

Work Mode: Work from Office

Shift: Day Shift

Reporting To: SVP

Compensation: Best in the industry (for suitable candidates)

Educational Qualifications

Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Experience Required

7+ years of experience solving real-world problems using:

Natural Language Processing (NLP)

Automatic Speech Recognition (ASR)

Large Language Models (LLMs)

Machine Learning (ML)

Preferably within the healthcare domain

Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable

Key Responsibilities

AI Strategy & Solution Development

Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI

Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation

Develop and integrate Agentic AI frameworks enabling multi-agent collaboration

Design scalable, reusable, and production-ready AI frameworks for speech and text analytics

Model Development & Optimization

Fine-tune, train, and optimize large-scale NLP and ASR models

Develop and optimize ML algorithms for speech, text, and structured healthcare data

Conduct rigorous testing and validation to ensure high clinical accuracy and performance

Continuously evaluate and enhance model efficiency and reliability

Cloud & MLOps Implementation

Architect and deploy AI models on AWS, Azure, or GCP

Deploy and manage models using containerization, Kubernetes, and serverless architectures

Design and implement robust MLOps strategies for lifecycle management

Integration & Compliance

Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR

Integrate AI systems with EHR/EMR platforms

Implement ethical AI practices, regulatory compliance, and bias mitigation techniques

Collaboration & Leadership

Work closely with business analysts, healthcare professionals, software engineers, and ML engineers

Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures

Mentor and lead junior data scientists and engineers

Contribute to AI research, publications, patents, and long-term AI strategy

Required Skills & Competencies

Expertise in Machine Learning, Deep Learning, and Generative AI

Strong Python programming skills

Hands-on experience with PyTorch and TensorFlow

Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)

Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)

Experience with text embeddings and vector databases

Proficiency in cloud platforms (AWS, Azure, GCP)

Experience with LangChain, OpenAI APIs, and RAG architectures

Knowledge of agentic AI frameworks and reinforcement learning

Familiarity with Docker, Kubernetes, and MLOps best practices

Understanding of FHIR, HL7, HIPAA, and healthcare system integrations

Strong communication, collaboration, and mentoring skills

Employee Benefits & Perks

Medical Insurance: 4 Lakhs per annum (Coverage for self, spouse, and 2 children under 25 years of age; non-reimbursable)

Group Personal Accident Policy: Coverage equivalent to 5 years’ CTC in case of accidental death

Complimentary Canteen Facilities for office-based employees

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