#Mlops Engineer

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#Mlops Engineer Reel by @meet_kanth (verified account) - MLOps Engineer Career Roadmap? "Your Ultimate Career Roadmap to Becoming an MLOps Engineer" 🗓️ Early-Bird Offer on My Live Weekday MLOps Engineer P
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@meet_kanth
MLOps Engineer Career Roadmap? "Your Ultimate Career Roadmap to Becoming an MLOps Engineer" 🗓️ Early-Bird Offer on My Live Weekday MLOps Engineer Projects-MLOps Engineer Focused Program with Internship, To learn more, Whatsapp Us at: +919347125815 / +919121516181 #MLOps #CareerRoadmap #DataScience #MachineLearning #AI #MLOpsEngineer #CareerTips #MLPipeline #DevOps #ModelDeployment #AIEngineering #CloudComputing #MLOpsSkills #MLInfrastructure #DataEngineering #TechCareers #Automation #ModelMonitoring #ContinuousIntegration #MachineLearningOps #CareerDevelopment #MLOpsCareers
#Mlops Engineer Reel by @aiadventureryt - Comment "code" and I'll DM you the first agentic ML engineer Forget endless Jupyter notebooks and manual pipelines meet Neo, the AI system that works
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@aiadventureryt
Comment “code” and I’ll DM you the first agentic ML engineer Forget endless Jupyter notebooks and manual pipelines meet Neo, the AI system that works like a real machine learning engineer. Here’s what it does: Cleans & explores your dataset automatically Engineers features and picks the right architecture Trains & compares models (Faster R-CNN, RT-DETR, and more) Evaluates performance with mAP, FPS, and visualizations Deploys to GPU clusters zero manual setup I asked Neo to build an object detection model for self-driving cars using LiDAR + camera data. It ran EDA, processed 3D → 2D annotations, trained multiple models for 50 epochs each, and picked the best one then deployed it. All in one run. This isn’t just AI coding it’s end-to-end autonomous ML engineering. Comment “code” and I’ll DM you the link Follow for tools that automate your entire AI workflow Save this post before you forget the name #machinelearning #mlops #deeplearning #aicoding #aiagent #fullstackai #aicommunity #neuralnetworks #aiusa #aiadventureyt
#Mlops Engineer Reel by @sai_kumar_datascientist - MLOPS Roadmap 2024. Updated roadmap with all the resources. To become MLOPS engineer check out the video. And do subscribe the channel if you have not
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@sai_kumar_datascientist
MLOPS Roadmap 2024. Updated roadmap with all the resources. To become MLOPS engineer check out the video. And do subscribe the channel if you have not subscribed the channel ❤️. Comment MLOPS for roadmap link 🖇️. #ml #mlops #mlopsengineer #ai #generativeai #teraform #aws #azure #gcp #google #instagram #trending #tech #2024
#Mlops Engineer Reel by @bepec_solutions - MLOps Engineer Career Roadmap? "Your Ultimate Career Roadmap to Becoming an MLOps Engineer" 🗓️ Early-Bird Offer on My Live Weekday MLOps Engineer P
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@bepec_solutions
MLOps Engineer Career Roadmap? "Your Ultimate Career Roadmap to Becoming an MLOps Engineer" 🗓️ Early-Bird Offer on My Live Weekday MLOps Engineer Projects-MLOps Engineer Focused Program with Internship, To learn more, Whatsapp Us at: +919347125815 / +919121516181 #MLOps #CareerRoadmap #DataScience #MachineLearning #AI #MLOpsEngineer #CareerTips #MLPipeline #DevOps #ModelDeployment #AIEngineering #CloudComputing #MLOpsSkills #MLInfrastructure #DataEngineering #TechCareers #Automation #ModelMonitoring #ContinuousIntegration #MachineLearningOps #CareerDevelopment #MLOpsCareers
#Mlops Engineer Reel by @data_scientist001 - Episode -1 | AI/ML Work-from-Home & Upskilling Challenge 🚀 Starting my journey to become a Full Stack AI/ML Engineer - diving deep into MLOps, DevOp
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@data_scientist001
Episode -1 | AI/ML Work-from-Home & Upskilling Challenge 🚀 Starting my journey to become a Full Stack AI/ML Engineer — diving deep into MLOps, DevOps, deployment, and everything in between. Currently working as an AI Engineer, and pushing my limits every day to level up! Let’s connect, learn, and grow together in this exciting AI/ML journey. 🤖💻 #AIEngineer #FullStackMLEngineer #MLOps #DevOps #MachineLearning #ArtificialIntelligence #WorkFromHome #Upskilling #DataScience #DeepLearning #100DaysOfML #TechJourney #AITools #MLDeployment #AICommunity #LearningEveryday
#Mlops Engineer Reel by @decodewithavyay - DevOps ❌ MlOps ✅ Comment "Link" for the MlOps Guide🤖 Tags 🏷️: (MlOps, devops, devdecops, machine learning, ai, python, data engineer, data engine
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@decodewithavyay
DevOps ❌ MlOps ✅ Comment "Link" for the MlOps Guide🤖 Tags 🏷️: (MlOps, devops, devdecops, machine learning, ai, python, data engineer, data engineering, mlops engineer roadmap, devops roadmap) ✨Hashtags✨ #mlops #mlopsengineer #devops #devopsengineer #dataengineer #machinelearning #machinelearningengineer #roadmap #ml #datasciencejobs #career #jobseeking #softwareengineering #softwaredeveloper #artificalintelligence #aiengineer #engineering #devsecops #reelsinstagram #corporatemajdoor #corporate #pythonprogramming #avyaypratyush #viral
#Mlops Engineer Reel by @jam.with.ai (verified account) - Here is the MLOps roadmap: (with resources and courses included) 📌 𝗡𝗼𝘁𝗲: Red asterisks = Must-have skills Others = familiarity is enough (especi
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@jam.with.ai
Here is the MLOps roadmap: (with resources and courses included) 📌 𝗡𝗼𝘁𝗲: Red asterisks = Must-have skills Others = familiarity is enough (especially early on) ▶️ 𝗠𝗟 & 𝗠𝗟𝗢𝗽𝘀 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻* → Machine Learning Specialization – 🔗 comment “mlops” for link → Designing Machine Learning Systems (Book) 🔗 comment “mlops” for link → Model deployment in production 🔗 comment “mlops” for link ▶️ 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝗣𝘆𝘁𝗵𝗼𝗻)* → Python general → comment “mlops” for link → FastAPI / Flask → comment “mlops” for link → Git (Version Control) → comment “mlops” for link → Unit Testing → comment “mlops” for link → Integration Testing → comment “mlops” for link → Docker (Must) → comment “mlops” for link → CI/CD (only one) → comment “mlops” for link 🔗 GitHub Actions → comment “mlops” for link 🔗 CircleCI → comment “mlops” for link 🔗 Jenkins → comment “mlops” for link → Load Testing (Locust) - comment “mlops” for link → A/B Testing - 🔗 comment “mlops” for link ▶️ 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮 (𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁)* Pick one cloud provider. Learn via certification paths. → AWS SageMaker (overview) - comment “mlops” for link → AWS Learning Path: 1️⃣ AWS Cloud Practitioner (free) → comment “mlops” for link 2️⃣ AWS ML Associate → comment “mlops” for link 3️⃣ AWS ML Specialty → comment “mlops” for link (Also: GCP Vertex AI, Azure ML) ▶️ 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 → MLflow* - 🔗 comment “mlops” for link → Grafana + Prometheus - 🔗 comment “mlops” for link → DataDog - 🔗 comment “mlops” for link ▶️ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗦𝗲𝗿𝘃𝗶𝗻𝗴 → Apache Airflow (good to know) - 🔗 comment “mlops” for link → Kubeflow (best with GCP) → MetaFlow → EC2 / ECS / Kubernetes / Step Functions (Skip Kubernetes early on if possible) 🚨𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 → MLOps Zoomcamp (DataTalksClub) 🔗 comment “mlops” for link → MadeWithML by Goku 🔗 comment “mlops” for link → Train & Deploy ML (GitHub) 🔗 comment “mlops” for link → Taking Python to Production 🔗 comment “mlops” for link #machinelearning #mlops #datascience #ai #coding
#Mlops Engineer Reel by @udaysharmaaaaa (verified account) - AI Agents Banana Aata Hai??🤯🔥 . . {ai engineering, iit roorkee, huggingface, langchain, mlops, ai tools, ai agents, tech career, coding, ai future
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@udaysharmaaaaa
AI Agents Banana Aata Hai??🤯🔥 . . {ai engineering, iit roorkee, huggingface, langchain, mlops, ai tools, ai agents, tech career, coding, ai future} . . #reel #coding #tech #artificialintelligence #iitroorkee #langchain #huggingface #mlops #ai #machinelearning
#Mlops Engineer Reel by @mdimran.py - Struggling to find the right tech roadmap? This is gold! This GitHub repository is a must-have for every developer! It features detailed roadmaps for
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@mdimran.py
Struggling to find the right tech roadmap? This is gold! This GitHub repository is a must-have for every developer! It features detailed roadmaps for Full Stack Development, DevOps, MLOps, and AI & Data Science — from basic to advanced. You’ll find everything broken down step-by-step: Mathematics, Data Analysis, Machine Learning, Deep Learning, Reinforcement Learning, and more. Click on any domain, and get a clear path of what to learn! Just comment “ROADMAP” and I’ll send you the repo in your DM. Follow for more tech hacks and resources! ⸻ GitHub, Developer, Tech Roadmap, Learning Path, Programming, Full Stack, Backend, Frontend, DevOps, MLOps, AI, Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Roadmap Repository, Software Engineer, Python, JavaScript, HTML, CSS, React, Node.js, MongoDB, Docker, Kubernetes, AWS, Cloud Computing, Git, GitHub Projects, Tech Resources, Career in Tech #TechRoadmap #GitHubGems #DeveloperTools #LearnToCode #AIlearning #FullStackJourney
#Mlops Engineer Reel by @code.with.ahsan (verified account) - Why Your Machine Learning Projects Won't Land You a Job: Explained by Industry Expert Wondering why your university projects aren't translating to jo
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@code.with.ahsan
Why Your Machine Learning Projects Won't Land You a Job: Explained by Industry Expert Wondering why your university projects aren't translating to job offers? A mentor to fresh graduates breaks down the most common skill gaps. Companies are looking for candidates who can solve real-world problems, which means mastering: ✅ Data Wrangling: The ability to clean, process, and make sense of messy, imbalanced industry data is non-negotiable. ✅ Production Pipelines: The skill to deploy your ML models using MLOps principles is what turns a project into a product. Bridge this gap to go from a graduate to a top-tier candidate. Watch the entire stream here: https://youtube.com/live/KdnlwtoZi4k . . . #MachineLearningEngineer #DataScientist #CareerTips #University #SkillsGap #ML #AI #TechJobs #LearnToCode #technology #trend #projects #student #queries #tech #industry
#Mlops Engineer Reel by @aakash.a.dev (verified account) - [Read Caption] MLOps Engineer - The Career Path Nobody Talks About Machine learning is everywhere, but very few people know how to take a model from
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@aakash.a.dev
[Read Caption] MLOps Engineer – The Career Path Nobody Talks About Machine learning is everywhere, but very few people know how to take a model from a data scientist’s laptop and make it run reliably at scale. That’s where an MLOps Engineer comes in. Roadmap: – Start with strong Python and data structure skills – Learn the basics of machine learning and build small models – Get hands-on with cloud platforms like AWS or GCP – Learn Docker and Kubernetes for deployment – Practice with tools like MLflow, Kubeflow, and Airflow – Build an end-to-end project: data collection, model training, deployment, monitoring Career potential: – High demand across tech, fintech, healthtech, and e-commerce – Few specialists, so salaries are rising – Entry-level roles start around $95K and senior roles exceed $170K – A perfect mix of software engineering, data science, and operations This is one of the fastest-growing paths in tech for CSE graduates and engineers who want to work on real-world AI. #MLOps #MachineLearning #TechCareers #FutureOfWork #AIEngineering #CareerGrowth #aakashamodrajput
#Mlops Engineer Reel by @codingmermaid.ai (verified account) - Machine learning projects are changing! Save this post for later! 📖 Gone are the days when ML was just about tweaking your logistic regression in a
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@codingmermaid.ai
Machine learning projects are changing! Save this post for later! 📖 Gone are the days when ML was just about tweaking your logistic regression in a Jupyter Notebook. Today, it's about building end-to-end solutions, integrating systems, ensuring scalability, and maintaining robustness in production environments. If you're a software engineer, it's not just about knowing Python or TensorFlow; it's about applying core engineering principles—modular design, version control, testing, and CI/CD pipelines—into AI development. 📌So, how do you get started? Learn the basics of ML, but don’t stop there. Master frameworks like TensorFlow, PyTorch, and MLOps tools. Focus on deployment, monitoring, and optimization at scale. The future belongs to those who merge software craftsmanship with AI. Start now, because the lines between ML and software engineering are disappearing fast, and it’ll no longer be the skill reserved for the data people only but also software developers. I can help you break the barrier, because I created a detailed, instruction-based machine learning engineer path, ideal for beginners, as well as professional software developers, data scientists and data engineers, as well as DevOps engineers who want to make a career swap to MLOps I’ll be sending it to you only for the next 24h so Follow @codingmermaid.ai Comment “september” to this reel for invitation! Much love, Danica 🤍 #datascience #deeplearning #machinelearning #mlops #devops #software #developers #coding #python #webdeveloper #machinelearningtools #Machinelearningmodel #machinelearningalgorithms #deeplearningmodel #machinelearningproject #decisiontrees #neuralnetworks #naturallanguageprocessing

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