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Tier-1 employer, metro location, and in-demand mid-level AI role increase applicant competition.
Role demands specialized GenAI/ML expertise, limiting straightforward cross-industry transferability.
Specific LLM/ML toolset requirements and mandatory technical skills create strict candidate filters.
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Design, implement, and optimize Generative AI applications using LLMs and multimodal models with hands-on coding and prompt engineering.
Build and deploy AI pipelines across text, image, audio, and video data; integrate AI models into systems via APIs.
Collaborate cross-functionally to translate business needs into AI-driven features, conduct experiments, and ensure ethical AI compliance.
3-15 years of work experience in data science or AI-related roles.
Strong programming skills in Python, PyTorch, TensorFlow, or Transformers (Hugging Face).
Experience with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).
Bachelor’s degree in Engineering (B.Tech) or equivalent; MBA, M.Tech, or MCA also acceptable.
Proven experience in developing and deploying generative AI applications and AI pipelines in agile, collaborative settings.
Comfortable working at the intersection of AI research and business, translating complex AI capabilities into products.
Familiarity with ethical AI practices, data privacy, and governance frameworks relevant to generative AI solutions.