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Strong employer brand and metro hiring but specialized GenAI skills narrow candidate pool.
Generative AI skills are transferable across sectors but expect compliance and deployment domain nuances.
Explicit 7+ years and mandatory LLM/PyTorch/production deployment skills enforce strict filters.
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Develop and deploy AI/ML solutions using major machine learning frameworks such as PyTorch, TensorFlow, and Keras.
Implement generative AI technologies including LLMs, prompt engineering, fine-tuning methods (e.g., LoRA, QLoRA), RAG systems, and hybrid search techniques.
Manage model deployment and containerization (Docker) and work on AI development using Python scripting and relevant tools like LangChain, Hugging Face, and LlamaIndex.
7+ years of professional experience in AI/ML development with exposure to Generative AI.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Proficiency in Python, machine learning frameworks (PyTorch, TensorFlow, Keras), and Docker for deployment.
Familiarity with LLMs, prompt engineering, fine-tuning (LoRA, QLoRA), RAG systems, hybrid search, version control (Git), and awareness of AI compliance and data privacy.
Experienced in delivering AI/ML projects collaboratively in a technology-driven environment with exposure to cloud AI/ML platforms such as AWS, GCP, or Azure.
Capable of working with cutting-edge generative AI tools and frameworks, adapting quickly to new AI/ML technologies and frameworks.
Detail-oriented with strong analytical skills and effective communication to support AI solution development and deployment.