I’m early in my career and would really appreciate some guidance from experienced professionals in AI/ML. For my final year project, I focused on ML engineering—training models, exploring architectures, and working hands-on with tools like PyTorch. However, in my current (first) job, the work is centered around building GenAI/LLM applications using APIs like OpenAI and(Read More)

I’m early in my career and would really appreciate some guidance from experienced professionals in AI/ML.

For my final year project, I focused on ML engineering—training models, exploring architectures, and working hands-on with tools like PyTorch. However, in my current (first) job, the work is centered around building GenAI/LLM applications using APIs like OpenAI and Gemini. It’s more about integrating existing models than developing or training them.

While the work is interesting, I feel uncertain about my growth. I’m not gaining deep technical experience or strengthening my core ML skills. Long-term, I’d like to either:

  • Pursue a job abroad (e.g., in Europe), or

  • Apply for a master’s in AI/ML with scholarship support.

I’m currently torn between three options:

  1. Continuing with LLM application development (e.g., agents, API-based tools),

  2. Shifting toward core ML engineering (research, training models), or

  3. Trying to balance both.

If anyone has faced a similar crossroads or has insights into which path offers better learning and international opportunities, I’d be grateful for your advice.

Thanks in advance!