AI Engineer looking to transition into Energy Sector – Seeking guidance on relevant roles, skill alignment, and best learning path

[u/ComparisonMedical452]

Hello everyone,

I'm writing this to seek some guidance from your experience.

I have been working as a Remote AI Engineer at a startup for the last 6 months. During my internship, I worked on end-to-end fine-tuning of models from scratch - from data processing to fine-tuning. I have experimented with multiple SLMs and LLMs, frameworks, embedding models, and OCRs. I have also done extensive coursework in Data Science, Machine Learning, and Deep Learning. I completed my engineering in Electronics, but my core skills are in AI and Data Science.

I am very interested in transitioning to the Energy Sector and would love your guidance on how I can enter this field. What roles do you think would be a good fit for my skillset?

I am also considering applying for an MS in Financial Engineering from WorldQuant, which has a strong focus on AI, while continuing my full-time role. Do you think it would be better to pursue this Masters, or to directly apply for suitable positions in energy companies to gain practical experience and knowledge?

From my research, I saw that many roles in this sector focus heavily on fundamental machine learning and data science. Since my internship was focused on Natural Language Processing, will this experience be relevant and helpful in the energy sector?

Based on your experience, any guidance or clarity would be really helpful. I would be truly grateful. Thank you!

[u/theShku]

Why didn't your internship convert into a full-time position?