Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level Bengaluru ML role with 3–6 year band and metro location increases competition.
GenAI skills transferable but domain-specific security agent expectations increase industry specificity.
Explicit 3–6 year requirement plus core ML/LLM skills makes shortlisting moderately strict.
Develop, fine-tune, and evaluate generative AI models, particularly focusing on Large Language Models for domain-specific applications.
Design and build intelligent AI agents for vulnerability and endpoint management integrating data collection and analysis to generate remediation recommendations.
Collaborate with software engineers to integrate AI models into applications and maintain retrieval-augmented generation pipelines to ensure factual outputs.
3 to 6 years of work experience in AI/ML or related fields.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Statistics, or related quantitative field.
Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).
Fundamental understanding of machine learning, deep learning (especially Transformer architecture), and basic NLP concepts.
Experienced in working with Large Language Models and generative AI techniques, either through projects or professional experience.
Able to design and implement AI agents and retrieval-augmented generation systems with practical integration into software applications.
Familiar with AI frameworks (Langchain, PyTorch, TensorFlow), GenAI libraries (Hugging Face Transformers, LangChain), and basic cloud platform knowledge.