Nned

I’m currently working as a Machine Learning Engineer with \~3 years of experience in a service-based company, and I’m planning to switch to a product-based company (targeting companies like Amazon, Uber, Flipkart, PhonePe, etc.) within the next 1 year. My background: Most of my work has been in GenAI Insights generation using LLMs LLM fine-tuning & distillation Natural Language to SQL chatbot I’m comfortable with ML concepts, and fairly strong in: System design (ML systems) Deployment (have worked on AWS) Weak area: DSA is not strong (haven’t focused much in the last 3 years) Current CTC: \~19.5 LPA (Indian rupees) My confusion: Given my profile, I’m unsure how to prioritize my prep for the next 1 year: Should I double down on: ML fundamentals (beyond GenAI) System design Production/deployment (FastAPI, real-time systems, etc.) Or should I heavily focus on: - DSA (since product companies filter heavily) - Or should i rebalance by practicing classical ML and DL