Career Planner Personalized

Based on the information provided, here's a comprehensive career plan for your progression from a Junior Software Developer to a Lead AI Engineer: Year 1-2: Consolidate Your Current Position and Skills Continue to excel in your current role, focusing on projects that require problem-solving and teamwork. Start a self-study program in your free time, focusing on artificial intelligence (AI) and machine learning (ML). Platforms like Coursera and Udemy offer comprehensive courses in these areas. Follow AI thought leaders like Andrew Ng, reading their publications and attending their webinars to stay updated with the latest trends and developments in the field. Year 2-3: Gain Specialized Knowledge and Experience With the knowledge gained from your self-study, seek opportunities within your current company to work on projects related to AI or ML. This will give you practical experience and make your future applications stronger. Pursue a postgraduate diploma or certificate course in AI or ML. Many renowned universities offer such programs online. Attend AI and ML conferences and workshops, networking with professionals in the field. Year 3-4: Transition into an AI Role Start applying to AI engineer positions. Given your software development experience and AI education, you would be a strong candidate. If moving companies is not preferable, seek a transfer within your current company to a role that directly involves AI. Continue your self-study, focusing on more advanced topics and concepts. Aim to publish some of your work or findings, contributing to the field and building a professional reputation. Year 4-5: Solidify Your Position and Aim for Leadership Now that you're an AI Engineer, focus on gaining as much experience as possible. Volunteer for complex projects and showcase your leadership skills. Mentor junior AI Engineers or software developers in your company. This not only reinforces your own knowledge but also exhibits your leadership and communication skills. Prepare for your next big move, i.e., Lead AI Engineer. This will likely require a solid track record in successfully completed AI projects and demonstrated leadership skills. Year 5 and Beyond: Become a Lead AI Engineer Apply for Lead AI Engineer positions, ideally within your current company since they already recognize your contributions. If necessary, look for opportunities in other companies like Google, which you're interested in. Keep up with the latest AI and ML developments and continue networking, learning, and contributing to the field. Remember, this is a suggested career plan and might need adjustments based on your personal circumstances, job market trends, and other factors. Always remain flexible and open to opportunities as they come.