Back
Medium due to Tier-1 brand and metro hiring presence, offset by senior niche GenAI requirements.
Low because GenAI and Python ML skills are broadly transferable across industries and sectors.
High due to an explicit 7+ years requirement and mandatory GenAI/LLM and framework expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and implement AI/ML solutions focusing on generative AI using Python and major ML frameworks like PyTorch, TensorFlow, and Keras.
Work with LLMs including prompt engineering, fine-tuning techniques (e.g., LoRA, QLoRA), and retrieval-augmented generation (RAG) systems.
Manage model deployment and containerization (Docker), ensuring integration with version control and compliance with AI/data privacy standards.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Minimum 7 years of professional experience in AI/ML development with exposure to generative AI.
Proficiency in Python and familiarity with machine learning frameworks (PyTorch, TensorFlow, Keras).
Experience with model deployment, containerization (Docker), and version control (Git).
Experienced in delivering AI/ML projects collaboratively within cloud environments (AWS, GCP, or Azure exposure is a plus).
Comfortable working with advanced generative AI tools such as LangChain, Hugging Face, LlamaIndex, and applying hybrid search techniques.
Technically adept in both research-level AI tasks (LLM fine-tuning) and practical deployment including regulatory compliance and responsible AI implementation.