Marketing Delivery Manager

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Content Writing Intern (Remote) — The Grey Post

🕐 Duration: 3 months | 💵 Stipend: Unpaid | 🌎 Location: Remote (USA Preferred)

About The Grey Post

TheGreyPost.com is a rising independent media platform covering U.S. news, global affairs, offbeat stories, lifestyle, culture, and deeply researched long-reads with a fresh voice. We are on a mission to publish content that matters — beyond the noise, beyond the ordinary.

Now, we’re inviting curious minds and sharp writers to join us on an exciting journey — as interns who want to be noticed.

🔍 What You’ll Do

• Research and write high-quality blog posts, opinion pieces, or news explainers (600–1500+ words).
• Contribute to content categories like Trending US News, States of Mind, The Feed, Deep Grey, and more.
• Use simple, clear, and engaging language — just like you're explaining something to a smart 8th grader.
• Learn basic SEO writing, headline optimization, and viral angles.
• Collaborate via Notion, Docs, Slack/Email — fully remote and async-friendly.

🧠 What You’ll Gain

• Real bylines on a fast-growing publication — boost your resume and portfolio!
• Mentorship on writing for the web, EEAT, and journalism standards.
• Letter of Recommendation & Certificate upon successful completion.
• Possibility of paid freelance work or contributor status after internship.
• Priority consideration for future editorial roles and features.

✅ You’re a Great Fit If…

• You’re based in the USA or have excellent knowledge of U.S. culture/news.
• You enjoy explaining complex things simply.
• You’re comfortable working independently and meeting deadlines.
• You're studying journalism, English, media, or simply love writing.

🎯 Bonus If You…

• Have experience with WordPress or Google Docs.
• Have written on Medium, Substack, your blog, or college magazine.
• Love writing about society, tech, politics, strange laws, or offbeat stories.

📩 How to Apply

Send us:

• A short bio (2-3 lines)
• 1 writing sample (or link to blog/Medium/portfolio)
• 2 content ideas you’d love to write for The Grey Post

👉 Email: thegreypost.com

Subject: “Content Writing Intern — [Your Name]”

Note: This is a volunteer-based, learning-focused internship. We value creative freedom, flexible hours, and personal growth over formal titles. Perfect for students and passionate writers who want to make their words matter.

Responsibilities and Duties

• Can work on live projects of international clients.
• Can handle multiple projects
• Error-free coding.

Requirements

• Minimum 3 Years of Experience.
• Extremely fluent in Database performance and tuning
• Knowledge in Web API
• Knowledge in Payment Gateway Integration
• Knowledge in Angular JS
• Good analytical, logic building and problem-solving skills
• Proper Reporting & Documentation
• Experience with Microsoft .NET technologies including, ASP.NET, MVC, Entity Framework
• Proven Skills with C#, SQL JavaScript/HTML, HTML-CSS, AJAX, jQuery, Web Services, etc.
• Excellent research capability.

• At least 2-5 Yrs. of experience handling end-to-end IT recruitment.
• Should be an individual contributor responsible for Full Recruitment Life Cycle: Sourcing, Screening, Interview Co-ordination and Follow-Ups etc.
• Experience working with W2/1099/C2C/GC/EAD/US Citizens/TN Visa/H1B work Authorization.
• Screen candidates to confirm work history, education, training, job skills, soft skills, and availability and salary requirements.
• Follow up with candidates during the entire process, keep them warm and also close the loop as appropriate 
• Candidate should be technically strong & possess knowledge of IT terminologies & current trends.
• Ability to source profiles using alternative sourcing channels (LinkedIn, Li-Searcher, GitHub and other networking channels)