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Tier-1 brand plus sought-after GenAI skills yields medium competition.
Specialized GenAI/ML skillset causes high domain specificity and low transferability.
Mandatory 7+ years and specific GenAI/ML technologies create high shortlisting strictness.
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Develop and implement generative AI models using Python and major ML frameworks (PyTorch, TensorFlow, Keras).
Work with large language models, prompt engineering, fine-tuning techniques (e.g., LoRA, QLoRA), and retrieval-augmented generation (RAG) systems.
Manage model deployment including containerization with Docker and use version control systems like Git.
7+ years of professional AI/ML development experience with exposure to generative AI.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or Keras.
Experience with cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus but not mandatory.
Experienced in handling LLMs, prompt engineering, fine-tuning methods, and hybrid search techniques within AI/ML projects.
Capabilities in containerization (Docker) and collaborative project delivery in cloud or hybrid environments.
Familiarity with generative AI tools such as LangChain, Hugging Face, or LlamaIndex considered advantageous.