Remote Data scientist Jobs – 127 Open Jobs Today

AI/ML Engineer
Rupa Career Solutions —Remote
- ₹4,07,628.29 - ₹10,74,242.27 a year
- Full-time
- Remote
- Azure
- Master's degree
- Databases
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6h
AI/ML Engineer / Python
Delphic —Remote
- ₹10,00,000 - ₹16,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
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3d
Machine Learning Engineer
Aidaptive —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
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Senior AI/ML Engineer — Founding Technical Lead (INDIA)
Vulcury Venture Studio and Advisors —Remote
- Full-time
- Remote
- Master's degree
- Manufacturing
- AI
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Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
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Offshore - AI Solutions Engineer
Smartbridge —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL
Senior GenAI/Agentic AI Engineer
Weekday —Remote
- ₹10,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Work from home
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9d
NLP Employability Training Program
V Career —Remote
- Remote
- SQL
- Machine learning
- Internship
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Principal Engineer, Data Science
Nagarro —Remote
- Remote
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AI/ML Engineer

Rupa Career Solutions
Remote

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Job details

Full-time
₹4,07,628.29 - ₹10,74,242.27 a year
6 hours ago

Qualifications

CI/CD
SSO
Revenue cycle management
Azure
Cloud architecture
Law
MCP
React
Kubernetes
Full-stack development
Enterprise Software
C#
Microsoft SQL Server
NoSQL
Git
.NET
Master's degree
Databases
RBAC
OS Kernels
AWS
Docker
PostgreSQL
Distributed systems
Terraform
Continuous integration
Redis
RabbitMQ
Back-end development
REST
Mentoring
Django
APIs
Kafka
GraphQL
Redshift
Flask
AI
Python

Full job description

Job Role: AI / ML Engineer

Experience: Preferrably 7+ Years

Role Overview:

We are seeking an experienced AI Automation Lead to design and build enterprise-grade AI

automation platforms for Healthcare and Revenue Cycle Management (RCM). The ideal

candidate will have strong expertise in Python backend development, workflow orchestration, AI

agent frameworks, cloud-native architecture, and enterprise integrations.

This role will lead the implementation of scalable AI solutions while mentoring engineers and

collaborating with cross-functional teams.

Key Responsibilities:

● Lead the architecture and development of AI-driven automation platforms and intelligent

workflows.

● Build scalable Python backend services (REST APIs, asynchronous processing,

microservices).

● Design workflow orchestration using Temporal (or equivalent workflow engines) for

long-running business processes.

● Develop AI Agents using modern LLM frameworks and AWS AI services.

● Integrate Python services with C#/.NET applications, enterprise systems, and external

APIs.

● Design secure, scalable, stateful/stateless backend architectures with event-driven

patterns.

● Implement authentication and authorization (OAuth2, JWT, SSO, RBAC/ABAC).

● Develop AI-powered healthcare workflows across RCM, enrollment, claims,

payer/provider integrations, and document automation.

● Build Full Stack AI applications including backend APIs, workflow services, AI

orchestration, and frontend integration.

● Implement AI Ops practices including monitoring, observability, model lifecycle

management, logging, evaluation, and production support.

● Drive engineering best practices, code quality, CI/CD, documentation, and mentor

development teams.

Required Skills:

Backend Engineering

● Python (Expert)

● FastAPI, Flask or Django

● REST APIs, WebSockets, Async Programming

● Microservices architecture

● External API integrations

● C#/.NET integration experience

Workflow & Automation

● Temporal (Preferred) or equivalent workflow orchestration

● Event-driven architecture

● Distributed processing

● Long-running workflow management

● State management

AI & Automation

● AI Agent frameworks (CrewAI, AutoGen, Semantic Kernel, LangGraph, etc.)

● LLM integration (Amazon Bedrock/OpenAI/Azure OpenAI)

● Prompt Engineering

● Guardrails

● RAG Architecture

● Vector Databases (ChromaDB, Pinecone, pgvector)

● MCP (Model Context Protocol) and AI Skills/Tooling knowledge

Security

● OAuth2

● JWT

● SSO

● RBAC / ABAC

● API Security

● Secrets Management

Cloud & AI Ops

● AWS (Preferred) or Azure

● Docker

● Git

● CI/CD Pipelines

● Monitoring & Logging

● AI Ops, Model Monitoring, Observability

● Production Deployment & Support

Databases

● SQL Server / PostgreSQL / Redshift

● Redis

● NoSQL Databases

● Vector Databases

Preferred Qualifications

● Experience building enterprise AI automation platforms.

● Healthcare domain knowledge with Revenue Cycle Management (RCM), Claims,

Eligibility, Enrollment, Prior Authorization, or Provider/Payer workflows.

● Strong understanding of distributed systems and scalable backend architecture.

● Experience integrating AI solutions into existing enterprise applications.

● Strong debugging, architecture, and problem-solving skills.

● Experience leading technical teams, conducting code reviews, and mentoring engineers.

● Experience delivering production-grade Full Stack AI applications.

Nice to Have

● Kubernetes

● Kafka / RabbitMQ

● GraphQL

● Playwright / Browser Automation

● Terraform / Infrastructure as Code

● Snowflake, Databricks

● MLflow or Model Lifecycle Management

● React or modern frontend frameworks

● Healthcare interoperability standards (FHIR/HL7)

Pay: ₹407,628.29 - ₹1,074,242.27 per year

Experience:

Python: 3 years (Required)
Healthcare : 1 year (Required)
IT: 7 years (Required)
Revenue Cycle Management: 1 year (Preferred)

Work Location: Remote

Quick apply

Refine Your Search

data scientist jobs in remote

AI/ML Engineer

AI/ML Engineer / Python

Machine Learning Engineer

Senior AI/ML Engineer — Founding Technical Lead (INDIA)

Manager / Area Manager Artificial Intelligence

Offshore - AI Solutions Engineer

Manager / Area Manager Artificial Intelligence

Senior GenAI/Agentic AI Engineer

NLP Employability Training Program

Principal Engineer, Data Science

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