We're #hiring a new Applied Machine Learning Engineer in Phoenix, Arizona. Apply today or share this post with your network.
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Are you a pixel wizard who loves teaching machines to see the world? If you’re fired up by deep learning, CNNs and making mind-blowing things happen with computer vision, we want YOU! ?? We’re hiring a Data Scientists (Computer Vision) to dive into projects where your work will have real-world impact—from crafting models that detect objects in the blink of an eye to making sense of the unseeable. This is your chance to work with bright minds, build cool things, and help shape the future! If You’re a Fit, You’ll... ?? Be a whiz with computer vision tools and techniques like OpenCV, PyTorch, and TensorFlow ?? Geek out over CNNs, GANs, object detection, and image segmentation ?? Have a passion for machine learning and the curiosity to take it to the next level Ready to turn pixels into purpose? #Hiring #DataScientist #ComputerVision #DeepLearning #AIJobs
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?? 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
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Founder & CEO - ThinkAI - A Machine Learning Community I Owner @CSE Pathshala by Nirmal Gaud I Kaggle Expert I Assistant Professor , Deptt. of C.S.E , SATI (D) , Vidisha , M.P , India I Former Tutor @ Unacademy
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 !!!
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Opportunity
I am hiring a talented Machine Learning Scientist to join the Studio Intelligence team at Netflix. You'll work closely with our Studio partners on building ML models that power key insights and decisions for Production Planning and Forecasting. This is a role with tremendous business impact on a dynamic team. Join us! Apply here: https://lnkd.in/eQ-fRms6
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11 of 28 #job #openings on 5/14 ?? #data #scientists & #ml engineers ?? HubSpot #checkitout and #share. #follow Suresh V. for #cool opportunities and ideas! #opportunity #usajobs #usa #hiring #hiringnow #open #jobsearch #reshare #engineeringjobs #engineering #givingback #spreadtheword #connectandgrow #repost
Hi all, I’m hiring Data Scientists and Machine Learning Engineers! My team (of 10 data scientists and MLEs) delivers AI internally to thousands of sales, customer success, and support reps. Unlike many companies, our investment in AI isn’t lip service or a buzz word. It’s shaping our road map at all levels of the company. Besides classic machine learning, we're diving into RAG and LLM fine-tuning. Depending on experience and skill-level, we’ll flex on seniority. Come join us! ? Unlimited PTO ? Remote friendly ? 23% YoY revenue growth ?? Job links in comment
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We're hiring a Principal Machine Learning Engineer. If you're passionate about AI and innovation and your skills match the job requirements, send me your resume. I'll review and refer top candidates. Make sure to mention the following details in the message, along with your resume: - First Name - Last Name - Email Address - Years of Experience Check the job description and requirements in the link mentioned in the comments. #MachineLearning #AI #Hiring #TechCareers
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As businesses strive to harness data for competitive advantage, the growing demand for data professionals sparks the debate between machine learning engineers and data scientists. ?? ML Engineers: Focus on deploying and optimizing machine learning models at scale. ?? Data Scientists: Specialize in data collection, analysis, and developing custom models. ?? Skills & Tools: Both roles share skills in programming, but ML engineers emphasize software engineering, while data scientists focus on data analysis and visualization. Explore key differences to find the right career path for you, head to the following link to read more: https://heyor.ca/dSOBij #ML #MachineLearning #Tech
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