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Tier-1 brand, popular ML/AI role, and metro location increase applicant competition.
Highly domain-specific generative AI and ML requirements reduce cross-industry transferability.
Explicit 7+ years and mandatory generative AI/ML skills make filters stringent.
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Own development and deployment of AI/ML projects with focus on generative AI and large language models (LLMs).
Implement and optimize machine learning models using PyTorch, TensorFlow, or Keras, including prompt engineering and fine-tuning techniques (LoRA, QLoRA).
Handle model deployment, containerization (Docker), and collaborate on AI solutions within cloud environments (AWS, GCP, Azure).
7+ years 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 for AI development and experience with major ML frameworks like PyTorch, TensorFlow, or Keras.
Understanding of model deployment, containerization (Docker), and familiarity with version control systems (Git).
Experienced in applying advanced generative AI tools and frameworks such as LangChain, Hugging Face, LlamaIndex, and hybrid search techniques (RAG).
Comfortable working in collaborative, technology-driven environments delivering AI/ML solutions.
Awareness of AI compliance, data privacy, and responsible AI principles indicating a strategic approach to AI implementations.