Artifact AI’s Post

➡️ The working world requires a new set of skills. ➡️ 87% of leaders believe they have critical skills gaps ➡️ AI is the number one skills gap reported by leaders. Want to be part of the team solving this? We have 2 AI/ML roles. Could this be your time? Working directly with our brilliant Anna you'll be at the forefront of: ✨ Building intelligent systems that create immersive, personalised learning experiences ✨ Driving enterprise-wide digital transformation that delivers real results ✨ Developing cutting-edge tools that amplify the impact of our exceptional coaches #AI #MachineLearning #Multiverse Here's how 👇

I just finished parsing through >100 messages. Sorry if I could not go back to everyone. I will just reply here to the most commonly asked questions: 1. "Can you give me a referral?" -> Sorry, I don't do "cold" referrals :( 2. "How much is on the Data science vs SWE spectrum?" -> I believe it's somewhat of an MLOps position, definitely on the SWE side. 3. "How much do you need to know about Transformers" -> You don't need to be an expert, but a working knowledge would help to make design decisions. ML expertise is surely appreciated. 4. "Do you need Security expertise?" -> No, I started out not knowing what a cookie was (yeah...) but I learned on the job. If you have some security expertise, maybe you find some cool opportunities though! 5. "Does Google sponsor visa for the position?" -> I can't possibly comment on that, just apply and worry about it if you pass interviews and get selected (my personal opinion) Related to 3., I plan on diving more into transformers from a MLSys perspective, so stay tuned for that ;)

📣 Associate Staff Engineer, QA Automation - Remote 📢 Senior Systems Engineering Manager - Remote 📣 Manager, Data Engineering - Toronto - Remote 🌐 Ethical Generative AI: A New Era of Licensing 🌐 Discover how dataset providers are joining forces to ensure ethical practices in generative AI. This alliance is shaping the future of AI licensing for a more responsible tech landscape. Dive into the full story here: Read More At WhoDooUNode.com, we're excited about innovations that drive positive change in the tech world. What are your thoughts on ethical AI? Share with us! 💬 more roles @ WhoDooUNode.com #EthicalAI #TechInnovation #WhoDooUNode

💥 Why MLOps is a Game-Changer for Your Engineering Team CTOs and VP Engineers, are you prioritizing #MLOps in your tech stack? If not, here’s why you should start: 1️⃣ Define the Process Before the Tools: Map your entire ML lifecycle—from data curation to model monitoring. Clarity here can expose bottlenecks and inefficiencies, saving your team time and headaches. 2️⃣ Data is Your Fuel: A repeatable, well-governed data strategy ensures every model your team builds starts with reliable inputs. Without it, even the best algorithms falter. 3️⃣ Automate for Scalability: Manual workflows don’t scale. Invest in CI/CD pipelines for model training, testing, and deployment. Your team can focus on innovation, not tedious hand-offs. 4️⃣ Don’t Forget Post-Deployment: Monitoring and retraining are essential to maintain performance and prevent silent degradation. Operational excellence doesn’t stop at deployment, it scales with continuous improvement. When hiring an MLOps contractor, look for someone who understands these fundamentals. It’s not just about tools, it’s about building a culture of efficiency, reliability, and continuous innovation. Let’s bring machine learning from the lab to scalable production. 👍🏻

Want to know what a stellar #hiring process looks like? Here at Impressit, we consider ourselves experts in providing #staffaugmentation and hiring #dedicatedteams. To know more, read our latest article "Dedicated AI Team for a Fintech Project" - https://lnkd.in/edDX6PdZ

If you are in the US and have already started on your journey of GenAI - here are some interesting job openings by Liji Thomas And if you haven't started your journey with GenAI and AI in General - what are you waiting for?

🚀 How teams scale ML Engineering 3x faster: 1. Contractors start within 2-3 weeks   • Pre-vetted technical skills   • Immediate project impact   • Quick onboarding process   • Ready to contribute day one 2. Knowledge transfer to permanent team   • Documented best practices   • System architecture insights   • Training new team members   • Process optimization 3. Reduced hiring pressure   • Time for proper evaluation   • Better candidate assessment   • No rushed decisions   • Quality over speed 4. Better permanent hire decisions   • Clear skill requirements   • Defined success metrics   • Team fit understanding   • Role clarity 5. Continuous project momentum   • No development gaps   • Consistent progress   • Maintained velocity   • Stable delivery Teams using this model fill roles 47% faster. "What's your biggest challenge in scaling your ML Engineering team? Share below 👇" #TechHiring #MLEngineering #TalentStrategy

Is it Done? Rule 43 Agree what done is. I mentioned previously that my team Amazon listed out a few of our maxims like the rules from that guy on the NCIS TV show. Disagreement on Done was a regular root cause issue in projects and stakeholder expectations. We landed on 3 conditions for done - is the project deployed, validated, continuously tested & monitored - are customers & support notified, trained, and using the feature? - is the feature working? Do we see initial actual results to measure impact & value. Software doesn’t matter unless it is used & working. Too often, we neglected one of the conditions in our planning, so we added checklists. I’m building Honor a new engineering team that gets stuff done, innovating with AI, validated to increase care for our aging population. Looking for software engineers to join our team who get stuff done. The brisket btw was done, measured by thermometer, notified to users with a good aroma, and validated in a good family feast. #projectmanagement #hiring #innovation

Are you a firm believer that Deep learning is not only about training models? Are you passionate about setting up tooling and infrastructure to enable Research skyrocket and deliver direct impact to the product?? 🚀 Then it is a very good time to reach out to me because we are actively hiring for a Senior MLOps Engineer to join our amazing team here at Tractable! Link to the JD in comments below 👇 #wearehiring #MLOps #machinelearning

Hiring alert 📢 📢 Hi Connections! We are currently #hiring for "ML Senior Software Engineer " position in [Remote, Canada]. Know anyone who might be interested? Required skills: 1. Overall Experience(min 6 years) : 2. Experience with ML technologies and platforms, with a preference for Google Vertex AI : 3. Experience with open-source frameworks like TensorFlow, PyTorch, sci-kit-learn : #hiring #canadajobs #remote #remote #remotejobs #ml #machinelearning #tensorflow #pytorch #scikitlearn #ai #deeplearning #vertexai #mlengineer