ZenML’s Post

Here's to the one-person MLOps teams out there quietly powering ML initiatives at companies around the world. 👊 You're the unsung heroes: • Architecting data pipelines while others are still planning meetings • Shipping models to production while juggling cloud costs • Debugging infra issues at 2 AM because production can't wait • Building monitoring systems from scratch • Being the on-call rotation... of one The scope of MLOps keeps expanding, but you keep adapting. You're not just an ML engineer – you're a full-stack MLOps platform packed into one human being. To those running the whole MLOps show solo: I see you. Your ability to wear all these hats isn't just admirable – it's incredible. You're not just keeping the lights on; you're building the future of AI in your organization. Drop a 💪 if you're one of these ML swiss army knives. You're not alone in this. #MLOps #MachineLearning #ML #DataScience #Engineering

Five harsh truths every MLOps engineer needs to hear: 5/ Your fancy machine learning platform means nothing if its not being used. 4/ Most MLOps work isn't building cool stuff, it’s fixing crappy stuff. 3/ Hardly anyone cares about your work, they care about models delivering business value. 2/ Being good at tech won’t make you good at MLOps. It’s a craft of tech + complex principles. 1/ If your MLOps processes are too strict, teams will find ways around them. Now you are enabling tech debt! ----- Remixed from Dawn Choo's post. #devops #machinelearning #datascience

Sign up now - add this session to your schedule today and reserve your spot! 🚀 Don't build your agenda at the last minute! 🫣 Planning to attend #VMwareExplore 2024? Are you new to machine learning and MLOps, or struggling to deploy ML models to production with efficacy, flexibility and portability? 🤖 Let's tackle this challenge head-on with an introductory session on how Tanzu can help. We'll feature a live end-to-end session with the Tanzu portfolio, and discuss challenges and solutions for getting your machine learning and data science workflows from pilot to production, in an end-to-end, cloud-agnostic manner. We'll call out the three main tenets of successful ML operations - data engineering, DevOps, and machine learning - and showcase a few approaches to tackle some of their common challenges. #mlops #ai #production #vmwareexplore #tanzu Link to session: https://lnkd.in/gcDGdUi4

Highly recommended session! #MLOps #AI #Tanzu #VMwareExplore

Re:Invent 2024 Chalk Talk 🚀 High Performance LLM Inference Scaling on Amazon EKS 🚀 Join me & Apoorva Kulkarni for an expert-level chalk talk where we dive into building scalable, GPU-accelerated clusters using EKS-optimized AMIs and NVIDIA CUDA runtimes. We'll compare state-of-the-art open-source inference engines, explore performance metrics, auto-scaling, and seamless integration with AWS services for peak efficiency. 📅 Monday, Dec 2 ⏰ 5:30 PM - 6:30 PM PST 📍 MGM Grand | Level 1 | Boulevard 167 If you're a ML Engineer, Data Engineer, DevOps Engineer, or IT Professional passionate about Generative AI and Kubernetes, this session is for you. Let’s push the boundaries of what’s possible in AI/ML! #GenerativeAI #Kubernetes #AWS #AIInnovation #OpenSource #reinvent2024

From Zero to Hero. Journey to becoming a Machine Learning Engineer. Join our next speaker session with Maria Vechtomova, an MLops Manager, to find out. We will cover these topics: - Opportunities for career growth in MLops - Common mistakes when running your first ML model in production - Best MLops industry tools ...and so much more! Register for the event this Friday at 12 pm Pacific time here -> https://lnkd.in/gwxFykk6 We have a limited number of seats on Discord. Make sure to sign up early and prepare your questions. See you there! #mlops #mle #machinelearning

🚗 JPMC AWS DeepRacer 2024: A Milestone Achievement for Quantum Realm in AI/ML secured 12th Rank🚗 We are thrilled to announce that our team aka Quantum Realm of 3 people Myself, Angad and Vinay has secured 12th rank in the JPMC AWS DeepRacer 2024 competition among 60 teams across global JPMC teams ! This journey has been a testament to the power of hard work, dedication, and collaborative effort. Here’s a glimpse of what this incredible achievement means to us: Top 3 in Mumbai: Our team's journey began with a competitive race, where we proudly secured a top 3 position in Mumbai to qualify for the AWS DeepRacer finals. It was a true test of skill, persistence, and passion for innovation. A 6-Month Journey in AI/ML: Over the past six months, we’ve dived deep into Artificial Intelligence and Machine Learning, experimenting, iterating, and learning every step of the way. This experience has not only enhanced our technical abilities but also sharpened our problem-solving skills. Team Effort and Dedication: This milestone wouldn’t have been possible without the relentless commitment of our team. Every member contributed valuable time, expertise, and creativity. It’s a true example of how collaboration and passion lead to success. Extensive Knowledge Gained: Participating in AWS DeepRacer has expanded our knowledge in AI/ML. From tuning reinforcement learning models to optimizing race strategies, we’ve gained invaluable insights that will continue to benefit us in the future. This achievement is not just a ranking, but a reflection of our team's dedication to pushing the boundaries of innovation. We’re excited to continue this journey, explore new challenges, and elevate our expertise in the world of AI and machine learning. Thank you to JPMC and AWS for hosting such an incredible event, and to everyone who has supported us along the way! 🚀 #AWSDeepRacer #AI #ML #Teamwork #Innovation #DeepRacer2024 #QuantumRealm #JPCompany #MachineLearning #ArtificialIntelligence

🚀 Unlock Your Future as an LLMOps Engineer! 🚀 Are you ready to dive into the world of AI and become an LLMOps engineer? 🌟 In my latest YouTube video, I break down the roadmap to mastering this exciting field and detail the essential tech skills you need to thrive in this role. 🔍 What you'll learn: 1. Key Competencies: From machine learning frameworks to cloud infrastructure. 2. Skill Acquisition: How to efficiently build and refine your technical toolkit. 3. Industry Insights: What top companies are looking for in LLMOps professionals. Whether you're just starting out or looking to transition into this niche, this guide will equip you with the knowledge and skills to excel in AI and LLMOps. 👀 Watch Now: https://lnkd.in/giKUCXti Join the conversation and let me know what skills you find most valuable in the comments! 💬 #AI #LLMOps #MachineLearning #TechSkills #CareerRoadmap #YouTube #DataScience #ArtificialIntelligence #TechCareers #Engineering

MLOps is taking the centre stage. Let me share something that shocked me: we've completely flipped the script on ML development timelines. Remember those endless months of perfecting data pipelines? They're becoming history. Here's my recent experience with both approaches: Traditional path (the way we used to do it): - Spent 3 months in design meetings (yes, really!) - Only managed 2 concept iterations - Countless coffee cups consumed The path now: - Coming up with prototypes at lightning speeds - Tested 20 different concepts in a month - Coffee consumption remains same though The most incredible part? This isn't just happening in big tech. I'm seeing startups and mid-size companies embracing this shift and getting incredible results. Quick reality check: if you're in ML and haven't jumped into MLOps yet, you're missing out on the most significant transformation I've seen in my career. Trust me, I was skeptical too, but the results speak for themselves. Who else is riding this MLOps wave? Would love to hear your experiences in the comments! #MLOps #AIEngineering #TechTransformation #RealTalk

Supercharge your MLOps pipelines to validate and Secure ML Models with a single command. Using open-source tools such as ModelScan, we can easily pass the serialized model file to the utility and ensure that the model is secure enough for implementation. Detailed insights and security stats are just one command away. #follow Jayachandra Sekhar Reddy and databracket.substack.com for the latest updates and insights. https://lnkd.in/gz5kGzXj #mlops #devops #machinelearning #opensource #generativeai