What do you do if you want to turn temporary AI work into a permanent career?

If you're looking to transition from temporary AI work to a permanent career: - Build Your Portfolio: Showcase your skills and achievements in AI projects to attract potential employers. - Network Actively: Connect with professionals in the AI field through events, online forums, and social media to uncover opportunities. - Continuous Learning: Stay updated with the latest AI technologies and methodologies through courses and certifications. - Seek Feedback: Get input from peers and mentors on your work to identify strengths and areas for improvement. - Apply Strategically: Target roles that match your skills and aspirations, and tailor your application to highlight relevant experience.

Think over it and make an informed choice as this will be challenging. Talk to someone who is actually pursuing this kind of career to see how financially viable this is and what is the job security. A permanent AI career will require regular training to keep up-to-date with regulatory. governance and related changes. Keep in mind that this career might take a lot of hard work initially before you get any recognition for your work.

AI flourishes with teamwork. Coding and data are the foundation, but true AI champions don't stop there. They bridge the gap by understanding the business side. How will these AI tools impact a company's bottom line? Can they streamline processes, boost efficiency, or generate new revenue streams? Additionally, a grasp of regulations is crucial. What legal frameworks might govern these tools? Are there ethical considerations or potential biases to address? This approach fosters responsible AI development. It ensures AI tools align with the company's goals and society's needs. By thinking beyond their core expertise, AI developers become valuable team players who create powerful and responsible tools for the future.

Keep pushing forward and growing at your own pace. If you're content working in AI, continue your journey. Dive into industry problem statements, seek solutions using AI, and stay updated with the latest advancements. Stay focused and committed to your goals.

AI is moving at a rapid pace. I would stay abreast of various toolsets so that I can build, change and maintain AI Apps. For example: - Get to know both open-source and commercial LLMs including APIs. - Understand how to manage and train LLMs using your coporate data in a secure fashion (RAG, finetuning, etc..) - Learn Python and master it. - Get to know the new toolsets to design chains (LangChain for example) - Get to know the new toolsets to design UI (SteamLit, etc..) - Get to know React, Typescript to design front end UI. - Get to know tools like LangSmith to monitor AI apps in production. In short master the new AI stack that can help you design, implement, deploy and maintain AI Apps for Enterprises.

To turn temporary AI work into a permanent career, demonstrate your value by consistently delivering high-quality results, exceeding expectations, and taking initiative in projects. Seek feedback and actively seek opportunities to expand your skills and knowledge in AI through training, certifications, and hands-on experience. Build a strong professional network within the AI community, attend industry events, and connect with mentors and experienced professionals. Communicate your career aspirations and interest in long-term opportunities with your employer, and explore possibilities for career advancement within the organization or through external job opportunities in the AI field.

To turn temporary AI work into a permanent career, it is crucial to continuously build and enhance your skills. This can be done by pursuing relevant education and certifications in AI, machine learning, and data science. Additionally, attending workshops, participating in online courses, and joining AI-related communities can help you stay updated with the latest advancements in the field.

To ensure you have a long-lasting career in AI, make sure you develop your skill set at all times. actively follow AI leaders and enroll in courses in subjects close to your daily work. this will give you a broader perspective and allow you to follow and understand trends in the industry so you don't fall behind.

Consistency is key! As you learn/use AI tools make sure you stay consistent with your learning. Choose an AI tool that you're interested in and build from that by applying it to different scenarios.

This advice stresses the importance of gaining diverse experience in AI beyond temporary roles. It suggests seeking challenging opportunities to expand expertise, working on various projects to demonstrate versatility, and networking within the AI community for job opportunities. Ultimately, the goal is to accumulate experience that showcases problem-solving abilities and innovation.

Gaining experience allows individuals to network with professionals in the AI community, identify mentorship opportunities, and access job openings in the field. Furthermore, accumulating a track record of successful projects and contributions can enhance credibility and reputation, making individuals more attractive candidates for permanent positions and advancement opportunities within AI organizations. Overall, gaining experience not only validates one's skills but also lays the foundation for a long-term and fulfilling career in AI.

Apply AI to real-world problems and communicate with non-technical stakeholders. Participate in competitions, hackathons, or open-source projects to demonstrate skills and initiative. When networking, offer value through knowledge and insights. Share projects, write blog posts, or give talks to establish expertise and attract opportunities. Build a strong personal brand. Cultivate soft skills like collaboration, adaptability, and critical thinking, which are crucial in a rapidly evolving field. Employers seek well-rounded candidates who can navigate complexity, communicate effectively, and drive innovation. Develop a diverse skill set, robust network, and proactive mindset to thrive in AI.

Experience is key to transitioning into a permanent AI career. Look for opportunities to work on real-world AI projects, either through internships, freelance work, or volunteering. This will not only provide hands-on experience but also help you develop a portfolio of completed projects, which can be showcased to potential employers.

The transition from temporary roles to a firm standing in AI hinges on accumulating diverse, challenging experiences. This journey underscores the importance of versatility and adaptability, encouraging engagements with projects that span the spectrum of AI applications. Networking is spotlighted as a pivotal strategy, opening doors to unseen opportunities and fostering a community-driven path to innovation and problem-solving. This holistic approach to experience gathering is essential for demonstrating one's capacity for complexity and creative thinking in AI.

In addition to networking, consider contributing to open-source AI projects or collaborating with other professionals on research initiatives. These experiences not only expand your technical skills but also demonstrate your ability to work effectively in a team environment and contribute to the broader AI community. As you accumulate diverse experiences, continuously reflect on how each opportunity aligns with your long-term career goals. Seek out projects and roles that challenge you to grow, both technically and professionally. Be strategic in your choices, ensuring that each experience adds depth and breadth to your AI expertise.

To gain experience in AI, start by working on real-world projects or contributing to open-source AI projects. This hands-on approach allows you to apply theoretical knowledge and solve practical problems. Participate in hackathons and competitions like Kaggle to challenge yourself and learn from peers. Internships or temporary roles in companies can provide exposure to industry-standard tools and practices. Joining AI communities and attending workshops or meetups can also offer valuable insights and networking opportunities. Each experience builds your portfolio and demonstrates your capabilities to potential employers.

Showcase your work and creating and growing your social media presence. Create in the open by sharing prompts, your workflows and other relevant AI experience.

By compiling a portfolio of projects, accomplishments, and contributions in AI, individuals can showcase their skills, expertise, and achievements to prospective employers or decision-makers within the organization. Additionally, leveraging platforms such as personal websites, professional profiles, or online repositories to showcase completed projects, publications, and contributions to open-source initiatives can enhance visibility and credibility in the AI community. Furthermore, actively participating in industry events, conferences, or networking opportunities allows individuals to connect with potential employers, mentors, or collaborators, further advancing their career prospects in AI.

Your temporary AI project can act as a reference for your capabilities in AI. It can also demonstrate your practical experience. You may host it on a cloud platform and showcase it to your potential employers or prospects

The more you showcase your work, the more skills you gain and the more knowledge you can accumulate through the process. A wise mentor once told me, "Work for the larger audiences." It is important for others in your network to know what your skills are and it is not enough to just build skills. You can showcase your skills by sharing small digestible bite-sized content or by building your GitHub portfolio or by doing training and workshops. You can also showcase certifications that you may have achieved which will speak to your skills. Follow and interact with leaders on LinkedIn and other professional social media channels to showcase your work effectively.

Building a career in AI demands showcasing technical skills through a well-curated portfolio, understanding AI deeply to engage in strategic discussions, smart networking to form valuable connections, and staying adaptable to thrive amidst rapid advancements. Embrace continuous learning, contribute to the community, and share your journey to enrich the collective wisdom. This holistic approach not only demonstrates your capabilities but also positions you as a versatile, forward-thinking individual ready for the challenges and opportunities in the dynamic field of AI.

Demonstrate your skills making code and showing it. You need to focus on "for what is it usefull your code" and that is the only thing you have to show.

Creating a strong portfolio is essential to demonstrate your skills and expertise in AI. Showcase your completed projects, highlighting the problem statement, the AI techniques utilized, and the outcomes achieved. Consider sharing your work on platforms like GitHub or Kaggle, where it can be accessed by recruiters and other professionals in the AI community. Additionally, participating in AI competitions or publishing research papers can further enhance your visibility and credibility in the field.

To effectively showcase your AI work, create a comprehensive portfolio on platforms like GitHub or a personal website. Include well-documented projects that highlight your skills and achievements. Ensure each project has a clear description, objectives, methodologies, and outcomes. Incorporate visual elements like charts, graphs, or videos to demonstrate your results. Blogging about your projects or presenting them at conferences and meetups can also enhance visibility. Regularly update your LinkedIn profile with your latest projects and contributions to keep your network informed of your progress and expertise.

Portfolio Development; Create a portfolio showcasing your AI-related projects, accomplishments, and contributions. Include descriptions of the projects, methodologies used, outcomes achieved, and any relevant metrics or results. A well-curated portfolio serves as a tangible demonstration of your skills and expertise in AI, making you a more attractive candidate for permanent positions in the field.