remote ai ml machine learning Jobs – 117 Open Jobs Today

Senior AI Engineer (ML / Deep Learning / GenAI)
PairSoft —Remote
- ₹4,00,000 a year
- Email
- Remote
- Azure
- Oracle
- Master's degree
- Paid time off
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Operations Associate
AIClub —Remote
- ₹800 a month
- Email
- Remote
- Machine learning
- AI
- Communication skills
- Flexible schedule
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9d
Machine Learning Engineer / Data Scientist
Fusemachines —Remote
- Full-time
- Remote
- Azure
- Windows
- SQL
DevOps Engineer AWS, Kubernetes & ML Infrastructure (Part-Time)
EAX Media —Remote
- ₹3,03,890.20 - ₹7,00,000.00 a year
- Part-time
- Remote
- Software troubleshooting
- DevOps
- AWS
- Work from home
- Flexible schedule
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10d
Machine Learning (ML) Engineer
Futops Technologies India Pvt. Ltd —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Java
- Work from home
Ai & Operations Intern
7Startup.Vc —Remote
- ₹9,500 - ₹10,000 a month
- Full-time
- Remote
- Microsoft Excel
- English
- Master's degree
- Work from home
- Flexible schedule
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2d
AI Engineer
Aloes tree Pvt Ltd —Remote
- ₹30,000 - ₹70,000 a month
- Full-time
- Remote
- Azure
- AWS
- Machine learning
- Paid time off
- Work from home
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AI Intern
Vivasvat Revolutions Limited —Remote
- ₹5,000 a month
- Full-time
- Remote
- Computer Science
- SQL
- Analysis skills
- Work from home
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AI/ML Engineer II
Precision AQ —Remote
- Online application
- Remote
- Microsoft Excel
- Azure
- Computer Science
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Expert Artificial Intelligence/Machine Learning Engineer
Ciklum —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
- Health insurance
Hiring Alert | MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Facultyzone Talent Acquisition —Remote
- ₹3,000 - ₹4,000 an hour
- Part-time
- Remote
- Research
- Machine learning
- AI
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10d
ML / LLM Engineer
Codvo.ai —Remote
- Full-time
- Remote
- Azure
- Master's degree
- AWS
AI Engineer (Fresher)
AAPNA Infotech —Remote
- Remote
- Master's degree
- Bachelor's degree
- Machine learning
Remote AI Engineer
Teamficient —Remote
- Up to ₹1,500 a month
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply
Agentic LLM Developer
Luxten —Remote
- ₹14,182.55 - ₹64,925.94 a month
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Go Developer - AI & ML
Civo —Remote
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
AI / ML Engineer
Codvo.ai —Remote
- Remote
- System design
- AWS
- Machine learning
Polygon Annotation – Freelance
Macgence —Remote
- Email
- Remote
- Machine learning
- AI
- Time management
- Flexible schedule
AIML Lead
Fiddle Leaf Solutions —Remote
- Up to ₹2,20,000 a month
- Remote
- Computer Science
- AWS
- Bachelor's degree
- Work from home
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AI Developer- MSD 365
Recruitment Hub 365 —Remote
- ₹10,00,000 - ₹15,00,000 a year
- Remote
- Azure
- Computer Science
- Salesforce
- Work from home
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Senior AI Engineer (ML / Deep Learning / GenAI)

PairSoft -
Remote

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Job details

Full-time
₹4,00,000 a year

Benefits

Paid time off

Qualifications

TensorFlow
CI/CD
Azure
Oracle
Law
PyTorch
SAP
Master's degree
Docker
Machine learning
Continuous integration
Deep learning
Apache
AI
Communication skills
Python

Full job description

Senior AI Engineer (ML / Deep Learning / GenAI)
Location: India
Job Type: Full-time, Remote
Experience Level: 4+yrs(Hands-on IC)
About the Role
We are looking for a Senior AI Engineer to help us turn complex, time-consuming workflows into AI capabilities that customers can trust and use in day-to-day operations. The work spans classical machine learning, deep learning, and generative AI. You’ll be hands-on across the full lifecycle: shaping the solution, building or configuring models, deploying and keeping them healthy through retraining and strong observability as data and usage evolve.
What makes this role especially interesting is the “last mile”: taking AI features beyond a single implementation and making them work repeatedly across customers. You’ll help harden the patterns that enable secure, reliable, and measurable multi-customer deployments, backed by practical guardrails and evaluation so quality holds up as usage grows.
This role is supported by and collaborates closely with DevOps/MLOps and Data/AI Architecture to deliver production outcomes and establish repeatable standards as the team scales significantly over time. Most of this runs on Azure today, with room to explore OCI as our platform evolves.
Key Responsibilities

Build and deliver AI solutions using ML/DL and GenAI services based on problem needs.
Develop and maintain pipelines for training, evaluation, deployment, monitoring, and retraining.
Build GenAI applications (e.g., RAG/agents) with strong evaluation and guardrails.
Deploy AI workloads for real-time inference and/or batch processing.
Implement automated retraining (scheduling/triggers, validation, versioning, rollout).
Scale GenAI-enabled solutions so multiple customers can use them safely and reliably, with multi-tenant controls, guardrails, evaluation, and tuning
Set up model observability: performance metrics, drift detection, data quality checks, alerting, and production troubleshooting.
Partner with engineering and platform teams to integrate solutions into production and CI/CD workflows.

Requirements

5+ years overall experience in AI/ML engineering, including 2+ years with GenAI/LLM systems.
Strong proficiency in Python for model development, automation, and production-grade services.
Experience building GenAI applications (e.g., RAG/agents) with evaluation and guardrails.
Proven experience running models in production with monitoring, retraining, and observability practices.
Hands-on experience with Azure (Azure ML preferred); OCI exposure is a plus.
Experience with MLOps practices/tools such as MLflow and CI/CD pipelines.
Hands-on experience deploying AI services on Azure using Azure App Service and Azure Container Apps, with monitoring via Application Insights.
Experience containerizing services using Docker in production environments.
Hands-on experience with orchestration using Apache Airflow (open-source) or Azure-native alternatives (Azure Data Factory / Azure ML pipelines).
Working knowledge of scalable service design (latency/cost optimization, caching, batching, rate limiting).
Experience with deep learning frameworks (PyTorch or TensorFlow) is a plus.

Strong communication skills and ability to work effectively in a collaborative environment.

What We Offer

Opportunity to grow your career with a rapidly growing organisation.
Exposure to working with a Microsoft gold partner organization with the latest technologies.
People first organisation culture
Company Paid Group Mediclaim Insurance for employee, spouse and up to 2 Kids of INR 400,000 per annum
Company Paid Group Personal accidental insurance for employees of INR 1,000,000 per annum.
Company Paid & Manager approved Career Advancement Opportunities
Best in the Industry referral bonus policy.
29 Paid leaves throughout the year
Company-paid Maternity leaves for female employees

About the Company

We are a global team of innovators and advocates transforming how financial data is captured, stored, and manipulated with our comprehensive suite of automation technology. Our platform seamlessly integrates with your existing ERP for an unrivaled end-user experience. We do the heavy lifting so accounting, procurement, and fundraising teams can do their best work.

PairSoft’s aspires to be the strongest procure-to-pay platform for the mid-market and enterprise, with close integration to Microsoft Dynamics, Blackbaud, Oracle, SAP, Acumatica and Sage ERPs.

At PairSoft, we are passionate about innovation, transparency, diversity, and advocating on behalf of our customers and communities we support. We offer exciting career opportunities and a collaborative culture that allows individuals to learn, grow, and create meaningful impact. We are expanding and seeking team players who are eager to jump in and contribute to our rapid growth!

PairSoft is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other protected status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please email us at: [email protected].

To read our Candidate Data Privacy Notice - including GDPR - click here.

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