Wfh Support engineer Jobs – 823 Open Jobs Today

AI/ML Engineer - Healthcare
Alchi Design Studio —Remote
- ₹3,98,683.78 - ₹16,54,586.77 a year
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- Master's degree
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MNJ Software —Remote
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Domino Platform L3 Support / Development Engineer
RaiSha Globals —Remote
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9d
Staff Systems Engineer- Infrastructure (Employer of Record)
Credit Acceptance —Remote
- ₹34,17,563 - ₹50,12,426 a year
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AKB IT Solutions —Remote
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- Full-time
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Enterprise Data Engineer | SQL, Python, Cloud Platforms & Data Migration Support
Verixans Technologies —Remote
- ₹1,500 - ₹2,000 an hour
- Part-time
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- Azure
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11d
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Tech Engi —Remote
- From ₹1,500 a day
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- Azure
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21h
Staff Machine Learning Engineer (Employer of Record)
Credit Acceptance —Remote
- ₹63,55,839 - ₹93,21,897 a year
- Full-time
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Network Engineer
Eagle Hitech Softclou Pvt Ltd —Remote
- Up to ₹15,000 a month
- Full-time
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- Azure
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- Flexible schedule
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1d
DevOps Monitoring Engineer-Configuration Management
MNJ Software —Remote
- Full-time
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Software Support Engineer
Spintly India Private Limited —Remote
- From ₹25,000 a month
- Full-time
- Remote
- Computer science
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9d
QA Manual Tester- Healthcare Domain
HelixBeat —Remote
- ₹3,00,000 - ₹10,00,000 a year
- Full-time
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- EMR systems
- APIs
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- Flexible schedule
- Paid sick time
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14d
QA Engineer
Testeem solution —Remote
- ₹1,00,000 - ₹24,00,000 a month
- Full-time
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AWS QA Engineer (Contract)
Aaryavin Services —Remote
- ₹90,000 - ₹1,40,000 a month
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- Paid time off
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staff software engineer Healthcare revenue solutions innovator
Skyleaf Consultants —Remote
- ₹16,00,000 - ₹28,00,000 a year
- Full-time
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Technical Support Engineer
Nextarvo technologies —Remote
- ₹15,000 - ₹20,000 a month
- Part-time
- Remote
- Azure
- Computer Science
- Software troubleshooting
- Work from home
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7d

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AI/ML Engineer - Healthcare

Alchi Design Studio
Remote

Quick apply

Job details

Freelance
₹3,98,683.78 - ₹16,54,586.77 a year

Qualifications

TensorFlow
Azure
EHR systems
PyTorch
Ophthalmology
Master's degree
AWS
Data management
Medical imaging
AI

Full job description

Role: AI/ML Engineer

Engagement Type : Freelance / Contract

Domain :Healthcare — Medical Imaging (CT, X-Ray, DICOM/PACS)

Location: Remote

Experience Required: 5+ Years (Healthcare AI mandatory)

We are looking for a seasoned AI/ML Engineer with deep expertise in healthcare technology, specifically in medical imaging AI. You will work on building and integrating AI-powered solutions that help clinicians and researchers gain faster, more accurate insights from CT scans, X-rays, and other diagnostic imaging data. This is a high-impact freelance engagement with the opportunity to directly influence patient outcomes through technology.

Key Responsibilities

Design and develop AI/ML models for analysing CT scans, X-rays, and ophthalmic imaging data
Build and maintain DICOM adapter services to integrate with PACS systems (e.g., HeyEx1, HeyEx2, Zeiss Forum)
Enable ingestion and normalisation of medical imaging data for AI and analytics pipelines
Deliver FHIR-based integrations with EHRs, clinical systems, and image management platforms
Integrate AI models into clinical workflows to surface real-time insights for clinicians and researchers
Contribute to clinical trial acceleration tools using multimodal data (EHR, imaging, AI outputs)
Build and maintain core platform services and internal frameworks across product teams
Embed AI-powered decision-support and trial enrichment tools directly into researcher and clinician workflows

Must-Have Skills & Experience

Proven experience in healthcare AI — medical imaging (CT, X-ray, MRI, DICOM) is mandatory
Proficiency in ML frameworks: PyTorch, TensorFlow, or equivalent
Strong knowledge of DICOM standards and PACS integration
Experience with FHIR-based data exchange and EHR system integrations
Hands-on experience with ophthalmic or radiology imaging AI pipelines
Solid understanding of HL7, clinical data interoperability, and healthcare data privacy (HIPAA/GDPR)
Experience delivering production-grade AI services in clinical environments

Good to Have

Exposure to multimodal AI pipelines combining imaging + structured EHR data
Familiarity with clinical trial data management systems
Experience with cloud platforms (AWS, GCP, Azure) for healthcare workloads
Knowledge of ophthalmic imaging devices and datasets

Ideal Candidate Profile

The ideal candidate has worked at the intersection of clinical research and engineering — someone who understands both the technical complexities of medical imaging pipelines and the sensitivity required in healthcare environments. You are comfortable working independently, delivering high-quality outputs, and collaborating with cross-functional teams including clinicians, product managers, and data scientists.

Pay: ₹398,683.78 - ₹1,654,586.77 per year

Education:

Master's (Required)

Experience:

Healthcare AI - Medical imaging: 5 years (Required)
DICOM: 5 years (Required)
EHR systems: 5 years (Required)
AWS: 5 years (Preferred)
PyTorch: 5 years (Required)
TensorFlow: 5 years (Preferred)
Radiology imaging AI Pipelines: 5 years (Required)

Work Location: Remote

Quick apply

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