Principal Data Scientist

Healthcare Industry

Principal Data Scientist

Principal Data Scientist at Healthcare Industry · Bengaluru (Bangalore) · 6 - 10 years · ₹25L - ₹30L / yr · Posted 19 Feb 2026

Principal Data Scientist

at Healthcare Industry

Agency job

via Peak Hire Solutions

6 - 10 yrs

₹25L - ₹30L / yr

Bengaluru (Bangalore)

Skills

MLOps

Generative AI

Python

Natural Language Processing (NLP)

Machine Learning (ML)

Large Language Models (LLM)

PyTorch

TensorFlow

Artificial Intelligence (AI)

Amazon Web Services (AWS)

Windows Azure

SQL Azure

Google Cloud Platform (GCP)

Docker

Kubernetes

Vector database

Retrieval Augmented Generation (RAG)

EHR

EMR

HIPAA

HL7

Medical billing

Data Science

Health care IT

Healthcare

Llama

BERT

JOB DETAILS:

* Job Title: Principal Data Scientist

* Industry: Healthcare

* Salary: Best in Industry

* Experience: 6-10 years

* Location: Bengaluru

Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Criteria:

Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.

Job Description

Principal Data Scientist

(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Job Details

Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
Location: Hebbal Ring Road, 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

Role Overview

This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.

We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:

Reduce administrative burden in EMR data entry
Improve provider satisfaction and productivity
Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.

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

JOB DETAILS:

* Job Title: Principal Data Scientist

* Industry: Healthcare

* Salary: Best in Industry

* Experience: 6-10 years

* Location: Bengaluru

Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Criteria:

Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.

Job Description

Principal Data Scientist

(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Job Details

Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
Location: Hebbal Ring Road, 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

Role Overview

This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.

We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:

Reduce administrative burden in EMR data entry
Improve provider satisfaction and productivity
Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

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

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Full Stack Developer - Averlon

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Experience/Knowledge in at least three of the following technical areas is also required:

Object oriented design and methodologies
Experience developing cloud-based services (e.g. SaaS, PaaS)
Knowledge and development background in web services, or web based technologies using REST.
Experience with highly available/redundant softwer.

Strong communication skills required.
Strong writing skills required.
Ability to multi-task and handle changing priorities.
Knowledge of software development methodology, build tools and product life cycle; experience in agile development is a plus.
Excellent team skill, can-do attitude, focus on quality.

Desired Candidate Profile

Minimum 3 years of hands-on development experience
Experience with VoIP based technologies based on SIP protocol.
Solid C, C++ experience, Python
Experience in developing multi-threaded and client server application
Experience in Linux/Unix environment
Experience/Knowledge in at least three of the following technical areas is also required:

Object oriented design and methodologies
Experience developing cloud-based services (e.g. SaaS, PaaS)
Knowledge and development background in web services, or web based technologies using REST.
Experience with highly available/redundant softwer.

Strong communication skills required.
Strong writing skills required.
Ability to multi-task and handle changing priorities.
Knowledge of software development methodology, build tools and product life cycle; experience in agile development is a plus.
Excellent team skill, can-do attitude, focus on quality.

Sales Coordinator

at netCORE Solutions Pvt Ltd

5 recruiters

Posted by Zeno Ratos

Mumbai

2 - 5 yrs

₹2L - ₹5L / yr

MIS

Coordination

Client interaction

MS-Excel

The profile will be as follows:- 1) He needs to execute demo's/orders sent by the sales guys. 2) Campaign execution. 3) Billing 4) Assisting sales guys in filling up tenders. 5) Solving queries of clients and the sales team. 6) Following various sales processes He/she should have good interpersonal skills, should have command over English language, should have basic knowledge of excel.

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