Remote Senior security architect & engineer Jobs – 89 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
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Senior Data Platform Engineer
AverIQ —Remote
- Night shift
- Remote
- Azure
- Oracle
- Management
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18h
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MyAdvice —Remote
- Full-time
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- Master's degree
- AWS
- JavaScript
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- Full-time
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SENIOR BACKEND ENGINEER — PLATFORM & DISTRIBUTED SYSTEMS
Growthnxt —Remote
- ₹40,000 - ₹45,000 a month
- Full-time
- Remote
- Azure
- Java
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- Work from home
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Senior Data Engineer – Azure Databricks
K9V Tech & AI —Remote
- ₹12,00,000 - ₹18,00,000 a year
- Remote
- Azure
- ERP systems
- SQL
- Paid time off
- Work from home
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Granicus India —Remote
- Full-time
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TECH NEXT —Remote
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- Full-time
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- Azure
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1d
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Lead Software Engineer – Windows OS Internals & Endpoint Automation
Delphic Global —Remote
- ₹3,00,000 - ₹3,20,000 a month
- Full-time
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- Azure
- English
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4h
Principal Flutter + Android Engineer — 7–10 Years Experience
Hipstersg India Private Limited —Remote
- From ₹20,000 a month
- Online application
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- Java
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3d
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- Full-time
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- Computer Science
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Partner AI Deployment Engineer - AWS
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- ₹6,00,000 - ₹12,00,000 a year
- Full-time
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Technical Lead
Professional Reimbursement Managers —Remote
- ₹9,50,301.17 - ₹22,39,025.43 a year
- Full-time
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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

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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senior security architect & engineer jobs in remote

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