Rec Room’s Post

Machine Learning Engineer

What to Look for When Hiring a Machine Learning Engineer - When hiring an ML Engineer, recognizing specific attributes will ensure your new hire is capable and adds value to your team. Here are some skills and qualities to look for when hiring Machine Learning Engineers: https://hubs.li/Q02DLts30

machine learning engineer

All the GPTs were created to assist and not to replace Just because it can create code snippets and build toy applications doesnt mean it is reliable to do the system design, scaling architecture and Ops.. which is the actual work of a AI engineer/ Data Scientist / MLOps engineer GPT can create applications but Engineers design, develop, deploy and scale up the systems #llm #gpt #datascience #aiengineer

🚀 Exciting news! Our team is scaling up our AI initiatives in the smart home security space and we are looking for top talent! • Data Scientists • Machine Learning Engineers • Embedded / Cloud If your interested, send me a message or tag a great candidate in the comments. #AIJobs #TechHiring #DataScience #MachineLearning #EmbeddedSystems #DeepLearning #MLJobs #TechJobs #ArtificialIntelligence

You are a great machine learning engineer if you: 1. Focus on the problems first, then tools. 2. Have both creative and critical thinking skills. 3. Know how to drive progress between cross-functional teams. 4. Understand how to deploy models at scale. 5. Can discern between noise and value in the industry. 6. Know what reproducibility and observability mean. 7. Be a team player with excellent communication skills. 8. Stay updated with trends and research. 9. Have strong programming skills. 10. Possess a solid mathematical foundation. 11. Have data wrangling skills. 12. Be good at model evaluation and validation. 13. Be experienced with big data technologies. 14. Understand software engineering principles. 15. Have domain knowledge. 16. Maintain a problem-solving mindset. 17. Be aware of ethics and fairness. 18. Be adaptable. 19. Have effective debugging skills. 20. Show curiosity and passion. #machinelearning follow Nirmal Gaud for ML updates !!!

SimplyApply mentioned that they were currently seeking a Lead Machine Learning Engineer to join their team. It was stated that as a Capital One Machine Learning Engineer (MLE), one would play an integral role in the productionization of machine learning applications and systems at scale. In this position, it was explained that one would be involved in the technical design, development, and implementation of machine learning applications using various technology platforms. The primary focus was described as being on machine learning architectural design, model and application code review and development, and ensuring the availability and performance of machine learning applications. It was also mentioned that one would have the opportunity to stay up-to-date with the latest innovations and best practices in machine learning engineering. https://lnkd.in/gpUHhJr5 #Hiring #Jobs #AI #ML #AIJobs #MLJobs #AImployed #Machinelearning #AImployedLaunch #AIRevolution #FutureOfWork #AIJobs #CareerDevelopment #TechCommunity #JoinUs #UnlockYourPotential #AIEngineering #TechInnovation #DataDriven #AIInnovation #DigitalTransformation #TechLeadership #TeamCollaboration #AIPrototyping #GrowthConsultancy #TechCareer 

So excited about this new partnership! 🚀 🤝 World-class team and great mission around using Data & AI responsibly. Thinking about your next move in Machine Learning or MLOps? If so, let's talk! #Hiring #MachineLearning #MLOps

Passionate about building and optimizing large-scale machine learning infrastructure? I want to hear from you 🫵 Looking for experienced ML/AI engineers that are looking for their next challenge in the Bay area. 🚀 Distributed systems ✔ Data pipelines ✔ Performance optimization ✔ Let's chat 🗣️ #MachineLearning #ArtificialIntelligence #DeepLearning #DataScience #AIEngineering #NaturalLanguageProcessing #ComputerVision #NeuralNetworks #PredictiveAnalytics #MLOps

https://lnkd.in/dguMSc9H Job Overview As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world’s physical operations. You are a life-long learner: We have ambitious goals. Every has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems Work with petabyte-scale data from camera and sensor devices to develop new models Optimize models for inference on the backend and/or on edge devices Partner with hardware and full-stack teams to deploy model for optimal performance and cost Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs Collaborate with PM to translate customer needs to ML solutions Champion, role model, and embed cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: BS or MS in Computer Science or other relevant field 4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch) Experience deploying and iteratively refining models using customer feedback loops . . . . . .