Remote Ml / llm engineer Jobs – 94 Open Jobs Today

AI/ML Engineer
ISHIR —Remote
- Remote
- Azure
- Master's degree
- Databases
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AI/ML Engineer
LakeFusion —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
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Zstar Education Ltd —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
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6d
Senior AI Engineer
BigData Technology Solutions —Remote
- From ₹50,000 a month
- Full-time
- Remote
- Master's degree
- Databases
- APIs
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4d
AI/ML Security Engineer – GenAI & Prompt Injection
Ruhumi Technologies —Remote
- Up to ₹80,000 a month
- Remote
- Java
- Master's degree
- Databases
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7d
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
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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
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AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,20,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
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5h
AI engineer
MyData Insights Private Limited —Remote
- Remote
- Azure
- Master's degree
- SharePoint
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Full Stack Engineer – MERN Stack
Codvo.ai —Remote
- Remote
- Azure
- Computer Science
- Java
Lead AI Engineer
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
2d
LLM Platform Engineer/Lead (m/f/d)
Kayzen —Remote
- Remote
- Azure
- System design
- Master's degree
- Work from home
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Senior MLOps Engineer
ClusterNeuron —Remote
- Up to ₹1,00,000 a month
- Remote
- Azure
- AWS
- Machine learning
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6d
Senior AI Engineer (m/f/d)
Kayzen —Remote
- Remote
- Azure
- Master's degree
- AWS
- Work from home
Quick apply
9d
AI Platform Engineer (Gen AI)
Veltris —Remote
- Full-time
- Remote
- DevOps
- Java
- Master's degree
Senior Machine Learning Engineer
Portcast —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Machine Learning Engineer V
Avalara —Remote
- Remote
- Computer Science
- B.Sc
- Research
- Health insurance
- Paid time off
Senior Data Engineer (with AI/ML experience) India
IDT —Remote
- Full-time
- Remote
- Azure
- English
- Windows
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Software Engineer – AI Full Stack Developer
Kasmoprav —Remote
- ₹80,000 - ₹90,000 a month
- Email
- Remote
- Software troubleshooting
- Master's degree
- AWS
Quick apply
Database Administrator
Bhrigu LLC —Remote
- Full-time
- Remote
- Master's degree
- SQL
- AWS
- Health insurance
- Paid time off
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3d

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AI/ML Engineer

ISHIR -
Remote

Quick apply

Job details

Contractual / Temporary

Qualifications

TensorFlow
CI/CD
Azure
Law
Kubernetes
Google Cloud Platform
Master's degree
Databases
Microservices
AWS
Docker
Machine learning
Continuous integration
Deep learning
APIs
AI
Communication skills
Python

Full job description

Job Title: AI/ML Engineer

Location: India (Offshore)
Experience: 3–6 Years
Role Type: Remote / Offshore

About the Role

We are looking for a hands-on AI/ML Engineer to design, develop, and productionize machine learning and Generative AI solutions for real-world business use cases.

The ideal candidate should have strong experience in Python, machine learning, deep learning, LLMs, RAG, and MLOps, along with recent hands-on experience delivering Generative AI solutions in production environments.

Key Responsibilities

Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions.
Build and maintain end-to-end ML/AI pipelines, covering data ingestion, processing, model development, inference, deployment, and monitoring.
Develop and implement Generative AI applications, including LLM-powered solutions and RAG-based systems.
Apply prompt engineering, context engineering, and LLM fine-tuning techniques to improve model performance and reliability.
Design and implement solutions using vector databases, embeddings, and retrieval-augmented generation (RAG) architectures.
Collaborate with Solution Architects, Data Scientists, and engineering teams to translate business requirements into scalable AI/ML solutions.
Optimize models and AI applications for accuracy, latency, scalability, and cost efficiency.
Implement model evaluation, guardrails, observability, and monitoring for production AI/ML systems.
Follow MLOps best practices, including model versioning, CI/CD, deployment automation, and model lifecycle management.
Stay current with emerging developments in Generative AI, LLMs, AI engineering, and machine learning technologies.

Required Skills & Experience

3–6 years of hands-on experience in Machine Learning Engineering or a closely related role.
Strong proficiency in Python.
Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
Hands-on experience with Generative AI and LLM-based applications.
Experience with LLM fine-tuning, prompt engineering, and context engineering.
Strong understanding of RAG architectures, embeddings, vector databases, and semantic search.
Experience building and deploying production-grade ML/AI pipelines.
Working knowledge of MLOps practices, including model versioning and CI/CD for machine learning workloads.
Experience with at least one major cloud-based ML platform:
- AWS SageMaker
- Azure Machine Learning
- Google Cloud Vertex AI
Strong understanding of model evaluation, performance optimization, and production monitoring.
Ability to work collaboratively with cross-functional technical teams and translate business requirements into practical AI/ML solutions.

Nice to Have

Experience working on AI/ML solutions in regulated or highly sensitive domains, such as healthcare or government technology.
Experience with multi-agent AI systems and orchestration frameworks.
Experience with LLM evaluation frameworks and AI observability tools.
Familiarity with containerization and cloud-native technologies such as Docker and Kubernetes.
Experience working with APIs, microservices, and scalable AI application architectures.

What We're Looking For

Strong hands-on engineering mindset with the ability to take AI/ML solutions from prototype to production.
Practical experience solving real-world problems using Machine Learning and Generative AI.
Ability to evaluate different models and approaches based on accuracy, performance, scalability, and cost.
Strong problem-solving and communication skills.
Ability to work effectively in a fast-paced, collaborative environment.

About ISHIR

ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.

We are not just consultants, we are partners in our clients' success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.

At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.

As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.

ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.

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