Gun.io

Are you tired of working with agencies that do NOT understand how to hire engineers? Then look no further! We are a platform for engineers by engineers. Yes, you read that right. We have a team of engineers building our talent product and a team of engineers that helps match our top talent to your open positions. Not to mention a talent pool of over 3,000+ fully vetted senior engineers across all types of skill sets. If you would like to learn more about how to work with us, email us at [email protected]!

August 2024 Engineering Update This month, we’ve updated Mission Builder. The highlight? Location-Based Hiring Insights. Now, companies can: - Visualize global talent availability tailored to their needs. - Access granular rate data by location and seniority. - Make informed, evidence-based hiring decisions. The goal? Allow companies to refine budgeting, explore new talent markets, and strategically build their teams. We’ve also expanded talent discovery, introduced verified talent badges, and enhanced job description creation. https://lnkd.in/eZPzyS2w

As an engineering leader, you are uniquely positioned to drive impactful AI/ML initiatives in your organization, but technical insight alone isn't enough to drive adoption. The true challenge lies in effectively communicating your vision to stakeholders to secure the necessary resources for implementation. Key strategies: - Identify High-Impact Opportunities: Focus on problems where AI/ML can deliver substantial, measurable value. - Build a Strong Business Case: Develop clear ROI projections that speak to both technical and business stakeholders. - Ensure Data Readiness: Validate data quality and availability before proposing AI/ML solutions. - Tailor Communication: Adapt your message for different stakeholders, from C-suite to end-users. - Start Smart: Consider PoC projects to demonstrate value and mitigate perceived risks. Your role isn't just to propose AI/ML solutions but to advocate for those with the greatest potential for organizational impact. Your technical insight, combined with business acumen, makes you the ideal champion for these projects.

In the rush to implement AI, many companies are skipping a crucial step. Here's why that's a mistake: - Foundation First: Just as you wouldn't build a skyscraper without a solid foundation, don't jump into AI without strong Business Intelligence. - Moneyball Strategy: Remember how the Oakland A's prioritized statistics over star players? That's the power of data analytics before flashy tech. - Iterative Wins: Start small, learn fast. A data analytics MVP can deliver immediate value while paving the way for AI. - Modern BI is Powerful: Today's BI tools can rival AI in providing actionable insights. Don't underestimate them! - Culture Matters: Building a data-driven culture through BI prepares your organization for successful AI adoption. The goal isn't to have the most advanced AI—it's to make better decisions. By focusing on BI first, you're not just preparing for AI; you're building an adaptable, data-driven organization ready for whatever comes next. Remember: In the world of data strategy, sometimes you need to go slow to go fast.

Join us for an insightful live-stream panel discussion focused on the practical applications of AI in production environments. Our speakers are industry leaders who are not just talking about AI but actively implementing it in their work. Featuring Jerome Hardaway (Senior Software Engineer @ Microsoft), Philipp Tsipman (Founder and CEO at Camcorder AI), and Valerie P. (Senior Engineering Manager at Alma) Learn from their experiences, challenges, and successes in bringing AI from concept to reality.

Ready to move past the AI hype? Join taylor desseyn for Real AI in Action w/ Jerome Hardaway, Philipp Tsipman and Valerie P. We're talking with the people who are actually building and using AI in their day-to-day work. Cut through the noise and get insights from true innovators pushing AI forward.

In the tech world, we often overlook our most powerful tool: emotional intelligence. Join US Army Veteran and Mobile Dev 👨🏻💻 Jeremy Barger's Saloon Series to discover why EQ might be the career supercharger you've been missing.

We’ve observed companies often seek AI/ML engineers when backend developers would suffice. This trend reflects the dynamic AI landscape and the blurring lines between roles. Key points: - The rise of Large Language Models (LLMs) has shifted the skill set needed in most companies. - Many AI tasks now involve implementing existing services rather than creating new models - a backend development forte. - Backend developers, skilled at integrating third-party APIs, are often well-equipped to handle AI integration tasks. -True AI/ML expertise is crucial for custom model development, but this need is less common than many assume. - When deciding, consider the project's core value, primary concerns, data situation, and long-term goals. Before hiring an AI specialist, evaluate if a skilled backend developer could meet your needs. It could save time and resources while achieving your AI implementation goals. If you still have questions, work with a tech lead or a company like Gun to help you make the right decision.

What can you learn from Google’s challenges w/ Reddit? In an AI-driven world, why are users adding “Reddit” to their Google searches? And what can hiring managers learn from it? Key takeaways: - The growing demand for authentic, human-generated content - Why soft skills and cultural fit are more crucial than ever - How to balance AI efficiency with human insight in your processes Full article below 🔗 ⬇

Did you know we have an amazing AI feature within our platform?? Our very own David Egbert wrote an amazing article recently about our new gunAI feature that allows you to search our database of vetted engineers by simply copy/pasting your job description! He goes over things to consider before implementing AI in your application and pink elephants:) Hope you enjoy this article especially if you are considering using AI within your organization! https://lnkd.in/dJZ885xM