A developer pivoting to MLOps plans to use Docker for containerization in portfolio projects, demonstrating its foundational role in building and deploying automated LLM/RAG pipelines.

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    "summary": "A developer pivoting to MLOps plans to use Docker for containerization in portfolio projects, demonstrating its foundational role in building and deploying automated LLM/RAG pipelines.",
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    "comments": [
      {
        "url": "https://www.reddit.com/r/mlops/comments/1woywqp/comment/pbqx8d6/",
        "depth": 0,
        "score": 3,
        "author": "Ok-Tip7635",
        "excerpt": "you’re overthinking the junior vs senior label honestly. with 10 years of fullstack you already know how to build and ship complex systems, debug hell, deal with infra, all that. mlops is mostly just applying that same brain to a different kind of pipeline. the 270h will fill in the domain gaps but recruiters aren't gonna look at you like a fresh grad, they'll see a senior engineer who added a spe",
        "posted_at": "2026-09-24T11:33:49.000Z",
        "author_url": "https://www.reddit.com/user/Ok-Tip7635/"
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        "url": "https://www.reddit.com/r/mlops/comments/1woywqp/comment/pbrx6eo/",
        "depth": 0,
        "score": 2,
        "author": "tenkei_01",
        "excerpt": "Make sense if you already familiar with backend and devOps concept, might require much more time if not. I started transitioning from solution architect to AI architect and these are the things I can share:\n\n Don't dive into model training, optimization, packaging and such in early stages, many of those are covered by ml engineers.\n\n For LLM/Agents don't start with model deployment, in reality mos",
        "posted_at": "2026-09-24T14:35:25.000Z",
        "author_url": "https://www.reddit.com/user/tenkei_01/"
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      {
        "url": "https://www.reddit.com/r/mlops/comments/1woywqp/comment/pbrvrg2/",
        "depth": 0,
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        "author": "newbietofx",
        "excerpt": "You are better off being a forward deployed engineer. Must have some BD experience.",
        "posted_at": "2026-09-24T14:29:09.000Z",
        "author_url": "https://www.reddit.com/user/newbietofx/"
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        "author": "Intrepid-Copy-5919",
        "excerpt": "Hey! thats actually the exact area i work at :) and with the same amount of EOY as u 10 years(altought i come from a devops background)\n\n Yes, its realistic, the general archtectural knowledge will make it easier for u to learn, and i dont think u will be considered junior by recruiters, the problem i see there is that u saying alot of \"study\" and \"certifications\" and that does help u get through",
        "posted_at": "2026-09-24T20:10:20.000Z",
        "author_url": "https://www.reddit.com/user/Intrepid-Copy-5919/"
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        "author": "json_floyd_",
        "excerpt": "Wow, had same thoughts with similar background but leaning towards offering more of a major provider integration into companies. Offering LLM-powered automatizations and long term support. Kinda like IT guys servicing networks in small to medium scale offices. Have somebody tried this route, is there even a market for such services?",
        "posted_at": "2026-09-24T11:51:21.000Z",
        "author_url": "https://www.reddit.com/user/json_floyd_/"
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        "author": "Junior_Bee7274",
        "excerpt": "10 years of dev experience is nice, but projects will help you more and impress recruiters.",
        "posted_at": "2026-09-24T15:46:14.000Z",
        "author_url": "https://www.reddit.com/user/Junior_Bee7274/"
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        "author": "Pristine_Plum373",
        "excerpt": "A strong software background should help but i'd prioritize hands-on MLOps projects alongside the course.",
        "posted_at": "2026-09-25T06:47:53.000Z",
        "author_url": "https://www.reddit.com/user/Pristine_Plum373/"
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        "url": "https://www.reddit.com/r/mlops/comments/1woywqp/comment/pc8oc75/",
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        "author": "MattA2930",
        "excerpt": "Since you've got so much dev experience, I'd suggest focusing on the DevOps side of things first. You can probably get into it at your current role (I'd have loved if a dev told me they had interest in contributing to DevOps), so you can learn through that.\n\n Once you have experience there, the ML/AI side will become much easier. Enterprise-side, most people are using their cloud provider's LLM se",
        "posted_at": "2026-09-26T20:41:21.000Z",
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    "evidence": [
      "[post] On top of this, I plan to get the AWS Certified Solutions Architect – Associate and build 1-2 open-source GitHub projects showing a fully automated local LLM/RAG pipeline deployed with Terraform and Docker."
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    "post_text": "Hey everyone,\n\nI’m a Fullstack web / software Developer with 10 years of experience. Following a recent layoff, I’m taking this opportunity to pivot into MLOps / AI Platform Engineering.\nMy Goal & Thesis\nI want to help enterprise clients deploy, host, and maintain private/local AI solutions. The goal is to address data privacy, GDPR compliance, and API cost control for companies stepping away from public OpenAI endpoints.\nThe Plan: A 270-Hour Intensive Training Program\nI have the opportunity to get a 270-hour structured training program fully funded. Here is a breakdown of what the curriculum covers:\n\nData Analysis & Viz: Python, Pandas, data cleaning, EDA, ETL automation.\n\nPredictive Machine Learning: Classical ML (classification, regression), evaluation metrics, overfitting, eco-friendly ML optimization.\n\nGenAI & AI Agents: Foundation models/LLMs, advanced prompt engineering, RAG architecture, agentic workflows, evaluation metrics for generative output.\n\nCloud & Data Security: Cloud storage, ETL/ELT pipelines, IAM, encryption/GDPR, FinOps, cost optimization, and prep for public cloud certification (AWS).\n\nMLOps, CI/CD & IaC: Containerization, CI/CD pipelines, Infrastructure as Code (IaC), model versioning, monitoring, auto-retraining, and automated deployment.\n\nOn top of this, I plan to get the AWS Certified Solutions Architect – Associate and build 1-2 open-source GitHub...",
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    "post_title": "10 YOE Fullstack Dev pivoting to MLOps & Private Enterprise AI - Reality check on my plan and a 270h course ?",
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