Not getting a single interview: advice on career path for a former physicist having semiconductor industry ML experience

I obtained Ph.D. in applied physics and after that started a long journey transferring from academia to industry aiming for Data Science and Machine Learning roles. Now I have been working in a big semiconductor company developing ML algorithms, but currently feel stuck at doing same things and want to develop further in AI and data science in general. The thing is that at my current role we do mostly classical algorithms, like regression/convex optimization not keeping up with recent ML advancements.

I have been applying for a lot of ML positions in different industries (incl. semiconductors) in the Netherlands but can’t get even an interview for already half a year. I am looking for an advice to improve my CV, skills to acquire or career path direction. What I currently think is that I have a decent mathematical understanding of ML algorithms, but rarely use modern ML infrastructure, like containerization, CI/CD pipelines, MLOPs, cloud deployment etc. Unfortunately, most of the job is focused on feasibility studies, developing proof of concept and transferring it to product teams.