Home Based Ai/machine learning engineer Jobs – 115 Open Jobs Today

Senior AI Engineer / AI Architect (Part-Time)
eQuestever LLC —Remote
- Part-time
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3d
Senior AIML Engineer
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Garuda SpaceX Technologies —Remote
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10d
DevOps Engineer AWS, Kubernetes & ML Infrastructure (Part-Time)
EAX Media —Remote
- ₹3,03,890.20 - ₹7,00,000.00 a year
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Senior AIOps Engineer I
Porch Group Media —Remote
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- Full-time
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Senior Ai/Ml Engineer
Hiring Mavericks —Remote
- ₹17,00,000 - ₹25,00,000 a year
- Full-time
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- Azure
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Senior AIOps Engineer I
Porch —Remote
- ₹24,75,000 - ₹34,65,000 a year
- Full-time
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- Computer Science
- Master's degree
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- Paid holidays
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Fullstack Data Engineer (India)
Codvo.ai —Remote
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Data Scientist / Advanced Data Analytics Specialist
Codvo.ai —Remote
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ML Research Engineer - Computer Vision
Entrupy —Remote
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12d
(US) Fullstack Developer
Codvo.ai —Remote
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Staff Software Engineer -ML/AI
Lookout —Remote
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- B.Sc
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AI Research & Development Lead
Intelehealth —Remote
- Full-time
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Senior Data Engineer (with AI/ML experience) India
IDT —Remote
- Full-time
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- English
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ai/machine learning engineer jobs near home based

Senior AI Engineer / AI Architect (Part-Time)

eQuestever LLC
Remote

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Job details

Part-time
3 days ago

Qualifications

BCS
Azure
Cloud architecture
Law
Computer Science
Kubernetes
HIPAA
Master's degree
Databases
AWS
Docker
Bachelor's degree
Machine learning
Natural language processing
APIs
Kafka
AI
Python

Full job description

Hiring: Senior AI Engineer / AI Architect (Part-Time)

Location: 100% Remote (India)

Employment Type: Part-Time (4 Hours Daily)

About the Role

We are looking for an experienced Senior AI Engineer / AI Architect to design, develop, and deploy enterprise-grade AI solutions. This role is ideal for a highly skilled professional with deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will lead the design and implementation of intelligent AI systems that automate business processes, enhance decision-making, and seamlessly integrate with enterprise applications across AWS and Azure environments.

Key Responsibilities

Generative AI & Agentic AI

Design and build enterprise GenAI and Agentic AI applications using modern LLM frameworks.
Develop multi-agent AI systems using LangChain and LangGraph.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
Create prompt engineering strategies, context management frameworks, and AI orchestration workflows.
Integrate leading LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, and other AI APIs.

AI/ML Engineering

Design, develop, and deploy machine learning models for NLP, classification, prediction, and recommendation systems.
Implement LLMOps/MLOps practices for model evaluation, monitoring, and lifecycle management.
Fine-tune and optimize AI models for enterprise-scale use cases.
Establish AI governance, security guardrails, and responsible AI frameworks.

Cloud & Data Engineering

Architect scalable AI solutions on AWS and Azure.
Build robust data pipelines using Databricks, Kafka, Glue, Synapse, Data Lake, and ETL/ELT technologies.
Develop event-driven architectures using Kafka, EventBridge, Service Bus, SNS, and SQS.
Design and manage vector database solutions such as Pinecone, Azure AI Search, Weaviate, or similar platforms.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.
8+ years of software engineering experience.
5+ years of AI/ML engineering experience.
Strong programming expertise in Python and FastAPI.
Hands-on experience building Generative AI, Agentic AI, and LLM-based applications.
Strong experience with LangChain, LangGraph, RAG, embeddings, and vector databases.
Solid knowledge of AWS and Azure cloud platforms.
Experience designing scalable and secure enterprise AI architectures.

Preferred Qualifications

Experience in Healthcare, Financial Services, or Insurance domains.
Hands-on experience with Databricks, MLflow, and MLOps platforms.
Experience with Azure AI Foundry, Azure OpenAI, and AWS Bedrock.
Knowledge of HIPAA, SOC2, and enterprise security frameworks.
AWS and/or Azure certifications are a plus.

Technical Skills

What We're Looking For

Strong problem-solving and architectural design skills.
Experience delivering enterprise AI solutions from concept to production.
Ability to work independently in a remote, collaborative environment.
Passion for building next-generation AI systems and automation platforms.

Details needed

Full Legal Name:

Location:

DOB(MM/DD):

Email:

Relevant AI/GenAI Experience:

Experience with LangChain/LangGraph:

Experience with RAG & Vector Databases:

Experience with AWS/Azure:

Current Company:

Current CTC:

Expected CTC:

Notice Period:

Employment Type (Permanent/Contract):

Availability for a Part-Time (4 hours/day) Remote role:

LinkedIn Profile:

Contact Number:

After reviewing your resume, I believe you could be a good match for this opportunity. If you are interested in this position, send me your updated resume in word format with preferred contact number for us to discuss this opportunity in greater detail.

Looking forward to work with you.

Know someone who might be a great fit? Feel free to tag them or share this opportunity within your network!

Best regards,

Akash Sahu

Talent Partner @ eQuestever
[email protected]

Akash (Allen) Sahu

www.equestever.com

201 E Center St Suite 112, Anaheim CA 92805, USA

Notice:
This communication, including any attachments, may contain confidential, proprietary, or legally privileged information belonging to Equestever LLC. Any candidate or client information is shared solely for evaluation purposes and must not be disclosed, reproduced, or distributed without prior written consent. If you are not the intended recipient, please notify the sender immediately and permanently delete this message.

Work Location: Remote

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