Remote India Data scientist Jobs – 106 Open Jobs Today

Sr. AI/Ml engineer 10+ yrs Remote US Shift
Displays And Beyond Pvt Ltd —Remote
- ₹80,00,000 - ₹90,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
14d
AI/ML Developer
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
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Staff Machine Learning Engineer (Employer of Record)
Credit Acceptance —Remote
- ₹63,55,839 - ₹93,21,897 a year
- Full-time
- Remote
- Computer science
- Doctoral degree
- Computer Science
Data Science Lead (India)
Codvo.ai —Remote
- Remote
- Azure
- Master's degree
- Databases
Head of Machine Learning
BRAHMA —Remote
- Remote
- Doctoral degree
- Computer Science
- Research
Marketing Analytics Executive/Head
IITIL —Remote
- ₹4,00,000 - ₹10,00,000 a year
- Full-time
- Remote
- SQL
- Bachelor's degree
- AI
- Work from home
Quick apply
AI/ML Engineers-Gen AI
Websenor —Remote
- Full-time
- Remote
- Microsoft Access
- Computer Science
- Java
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9d
Freelance Trainer – AI for Predictive Maintenance and Smart Manufacturing
TGC India —Remote
- ₹9,374.19 - ₹30,000.00 a month
- Weekend availability
- Remote
- Azure
- Research
- Master's degree
- Flexible schedule
Quick apply
9d
Machine Learning (ML) Engineer
Futops Technologies India Pvt. Ltd —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Java
- Work from home
Internship: AI ML Intern
Datafoundry —Remote
- Full-time
- Remote
- Master's degree
- Bachelor's degree
- Machine learning
AI/ML Engineer 6+ Years
Raah Techservices —Remote
- ₹5,00,000 - ₹25,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Machine Learning Engineer
MNJ Software —Remote
- Full-time
- Remote
- Azure
- English
- Master's degree
- Work from home
AI/ML Engineer
LakeFusion —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
AI/ML Architect
Galaxy Technologies —Remote
- ₹35,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
AI Specialist (Applied AI)
BPM LLP —Remote
- Full-time
- Remote
- Azure
- Salesforce
- English
Quick apply
Technical Product Manager – AI/ML & Data Products (7+ yrs)
Outsource Bigdata —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
Quick apply
STEM Specialist (Fluent in Hindi) - Freelance AI Trainer Project
Meridial —Remote
- ₹8 - ₹65 an hour
- Remote
- Data analysis skills
- Research
- Master's degree
- Health insurance
- Paid time off
AI/ML Engineer
ISHIR —Remote
- Remote
- Azure
- Master's degree
- Databases
Quick apply
Instructor – Applied Artificial Intelligence Program
Eton College —Remote
- Part-time
- Remote
- Azure
- Computer Science
- English
Quick apply
3d

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Sr. AI/Ml engineer 10+ yrs Remote US Shift

Displays And Beyond Pvt Ltd -
Remote

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Job details

Full-time
₹80,00,000 - ₹90,00,000 a year
14 days ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
Computer Science
Kubernetes
Git
Master's degree
Microservices
SQL
AWS
Docker
Machine learning
Distributed systems
Continuous integration
REST
Natural language processing
GitHub
APIs
IT
Data science
AI
Communication skills
Python

Full job description

Senior AI/ML Engineer

Experience: 10+ Years
Compensation: Up to ₹80 LPA CTC
Work Mode: Remote
Shift: US Shift
Employment: Full-time

Role Overview

We are seeking a highly experienced AI/ML Engineer / AI Architect with 10+ years of experience designing, developing, and deploying production-grade Artificial Intelligence and Machine Learning solutions.

The ideal candidate will have strong hands-on expertise in Generative AI, LLMs, NLP, Deep Learning, RAG, Agentic AI, MLOps, and cloud-based AI platforms, along with the ability to lead technical initiatives and work directly with US-based stakeholders.

Key Responsibilities

Design and architect scalable end-to-end AI/ML solutions for enterprise use cases.
Build, fine-tune, evaluate, and deploy LLM and Generative AI applications.
Develop production-grade RAG pipelines, AI agents, copilots, and intelligent automation solutions.
Work with transformer architectures, embeddings, vector databases, prompt engineering, and model evaluation.
Develop ML models using Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, and related frameworks.
Design ML/AI pipelines covering data ingestion, training, inference, deployment, monitoring, and optimization.
Implement MLOps practices using Docker, Kubernetes, MLflow/Kubeflow, CI/CD, and cloud-native technologies.
Build solutions on AWS, Azure, or GCP, including scalable GPU/AI infrastructure.
Optimize model performance, latency, accuracy, scalability, and cloud costs.
Establish responsible AI practices including security, governance, observability, evaluation, and guardrails.
Lead technical discussions with US clients, product teams, architects, and engineering leadership.
Mentor senior/junior engineers and provide technical direction across AI initiatives.

Required Technical Skills

Programming

Python — expert level
Strong SQL
Experience with REST APIs, FastAPI, microservices, and distributed systems

Machine Learning / Deep Learning

Supervised and unsupervised learning
Deep learning
NLP and Computer Vision
Transformers and foundation models
Model training, fine-tuning, evaluation, and inference optimization

Generative AI

LLMs — OpenAI / Azure OpenAI / Anthropic / Gemini or equivalent
RAG and advanced retrieval architectures
Vector databases — Pinecone, FAISS, Weaviate, ChromaDB, etc.
LangChain / LlamaIndex or equivalent
Prompt engineering and structured outputs
Agentic AI and tool/function calling
LLM evaluation, guardrails, hallucination reduction, and observability

Cloud & MLOps

AWS / Azure / GCP
Docker and Kubernetes
CI/CD
MLflow / Kubeflow / Airflow
Model serving and monitoring
GPU infrastructure and inference optimization

Experience Requirements

10+ years of professional experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
5+ years of hands-on ML/AI engineering experience.
Proven experience taking AI/ML solutions from POC to production at enterprise scale.
Strong experience with GenAI/LLM-based applications.
Experience leading architecture and technical delivery for complex AI projects.
Experience working with US clients or distributed international engineering teams is highly preferred.
Excellent communication and stakeholder-management skills.

Preferred Qualifications

Master's degree in Computer Science, AI, ML, Data Science, or a related discipline.
Experience with enterprise AI platforms and large-scale distributed systems.
Experience with fine-tuning, LoRA/QLoRA, quantization, and GPU optimization.
Experience with AI security, governance, responsible AI, and model-risk management.
Published research, patents, or strong open-source/GitHub contributions are a plus.

Working Hours

US Shift: Approximately , with flexibility depending on US client time-zone requirements.

Compensation

depending on technical depth, leadership capability, GenAI expertise, and interview performance.

Exceptional candidates with strong architecture, GenAI, cloud, and enterprise delivery experience may be considered for higher compensation.

Ideal Candidate

A strong candidate for this role should be able to independently architect an AI solution, build the core components, deploy it to production, establish MLOps/observability, and communicate the technical strategy effectively to US stakeholders.

Pay: ₹8,000,000.00 - ₹9,000,000.00 per year

Application Question(s):

How much total IT experience
How many yrs into AI/ML
CTC, Expected CTC, Notice period
which part of India

Work Location: Remote

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