Remote Safety engineer Jobs – 110 Open Jobs Today

ML Engineer
ClusterNeuron —Remote
- Up to ₹1,00,000 a month
- Remote
- Azure
- Master's degree
- Machine learning
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3d
ML Engineer | GenAI & Agentic AI | Remote
Delphic Global —Remote
- ₹1,40,000 - ₹1,50,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
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3d
Azure & Microsoft 365 Specialist
Kidde-Fenwal LLC —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Analysis skills

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ML Engineer | GenAI & Agentic AI | Remote
Delphic Global —Remote
We are hiring an experienced *ML Engineer with 6–8 years of experience* for a remote contract opportunity. Strong experience working with Microsoft Azure AI/…
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AI/ML Engineer Mentor – MAANG | GenAI & Frontier AI
Awign Enterprises Pvt. Ltd. —Remote
Live mentoring, project reviews, practical guidance and potential co-design/delivery of course modules.*. We are hiring experienced AI/ML Engineers from MAANG…
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ML Engineer

ClusterNeuron
Remote

Quick apply

Job details

Contractual / Temporary
Up to ₹1,00,000 a month
3 days ago

Qualifications

TensorFlow
Azure
Law
PyTorch
Software deployment
Master's degree
Machine learning
APIs
AI
Python

Full job description

Experience:* 6–8 Years

*Engagement:* C2C

*Rate:* 1 Lakh per month

*Location:* Remote

*Working Hours:* 11:00 AM – 9:00 PM

## Role Overview

We are looking for an experienced *ML Engineer* with strong expertise in *Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure*. The ideal candidate will have hands-on experience building and deploying machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.

## Key Responsibilities

* Develop and maintain scalable *machine learning pipelines* and integrate them with *Azure ML*.

* Design and implement *agentic AI workflows* and intelligent AI agents using LLMs, planning, and decision-making frameworks.

* Build, deploy, and optimize machine learning models using *TensorFlow, PyTorch*, or similar frameworks.

* Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.

* Work extensively with *Microsoft Azure, including **Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry*.

* Build and experiment with *Generative AI models, LLMs, and agentic workflows*.

* Implement AI agent *safety, guardrails, evaluation, and monitoring mechanisms*.

* Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.

* Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.

* Support deployment architecture, model serving, monitoring, and productionization of AI systems.

* Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.

* Rapidly prototype and iterate on AI solutions in a startup-style environment.

* Collaborate with senior engineers and researchers to deliver production-grade AI systems.

## Required Qualifications

* 6–8 years of experience in *Machine Learning / AI Engineering*.

* Strong programming skills in *Python*.

* Hands-on experience with *TensorFlow, PyTorch*, or equivalent ML frameworks.

* Proven experience developing and deploying *machine learning models and AI agents*.

* Strong hands-on experience with *Generative AI, LLMs, and Agentic AI*.

* Strong expertise in *Microsoft Azure* and Azure AI/Data platforms.

* Experience with *Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry*.

* Experience with *ML pipelines, deployment architecture, and production AI systems*.

* Understanding of AI agent orchestration, evaluation, safety, and guardrails.

* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

## Good to Have

* Experience with *reinforcement learning and agent feedback mechanisms*.

* Experience building AI solutions for *security or enterprise applications*.

* Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.

* Experience working across backend services, APIs, and frontend integrations.

## Key Skills

*Good to Have:* Reinforcement Learning | RAG | Prompt Engineering | AI Safety & Guardrails | LLM Evaluation

Pay: Up to ₹100,000.00 per month

Work Location: Remote

Quick apply

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ML Engineer | GenAI & Agentic AI | Remote

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