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Strong brand, mid-level generative AI role in Mumbai attracts many qualified applicants.
Core ML/AI skills transfer well, but client-consulting and specialized LLM/MLOps needs increase sensitivity.
Explicit 4–7 years plus many mandatory LLM, Python, cloud and MLOps technologies makes screening stringent.
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Develop and deploy AI applications using Generative AI models and large language models (LLMs) such as GPT and Gemini.
Build and maintain scalable backend systems in Python and collaborate with cross-functional teams including UI/UX and product management.
Deploy AI solutions on cloud platforms (Azure, AWS, GCP) ensuring scalability and performance.
4 to 7 years of work experience in relevant roles.
Proficiency in Python for application development and experience with Generative AI frameworks (Hugging Face, OpenAI API, LangChain).
Experience with LLM fine-tuning, RAG techniques, and Python web frameworks (Flask, FastAPI, Django).
Familiarity with cloud platforms (Azure, AWS, GCP) for deployment and frontend development skills (HTML, JavaScript, React).
Required educational qualifications: MBA; preferred Bachelor of Engineering.
Experienced in end-to-end generative AI solution development with technical proficiency in AI models and backend engineering.
Comfortable working in cross-functional teams interacting with data scientists, UI/UX developers, and clients to customize AI solutions.
Familiar with cloud deployments, MLOps, version control, and able to address business challenges via AI technologies.