I’m looking to leverage programming skills, especially in machine learning, to solve real-world problems. My background is a bit eclectic - an engineering degree in IoT, a stint as a professional poker player, and experience in algorithmic trading. Recently I’ve been the only tech guy in a very small team, developing everything from trading bots to considering ML applications in trading strategies.
However, I’m yearning to shift gears and make a tangible impact. My journey into ML has sparked a desire to apply these skills beyond the confines of my current work, particularly in areas that directly enhance people’s lives, like optimizing traffic flows, improving cybersecurity, enhancing renewable energy utilization, or making government spending more efficient.
I’m proficient in Python, have a grasp on networking, some experience with AWS, and a foundational understanding of math and stats. Currently taking Machine Learning Engineering for Production (MLOps) Specialization.
Given this context, I’m reaching out for guidance on potential paths that align with my aspiration to see the real-world effects of my work. I value flexibility and wish to avoid roles where my contributions feel diluted or focused on less impactful areas like user retention optimization.
Any suggestions on how to navigate this transition, including job types to consider or skills to prioritize, would be greatly appreciated. I’m cautious of spreading myself too thin yet hesitant to over-specialize without a clear target.
Thanks for your insights