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Medium: niche GenAI skills reduce applicant pool despite Mumbai location and mid-level demand.
High — specialized GenAI, ML, vector DB and fine-tuning skills limit cross-industry transfer.
High due to explicit 5+ years and mandatory GenAI tech, cloud and vector DB requirements.
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Lead development and implementation of Generative AI applications leveraging LLMs with frameworks like LangChain and LlamaIndex across diverse industries.
Design and deploy scalable AI solutions including RAG pipelines, multimodal AI, autonomous agents, and manage MLOps processes ensuring performance, security, and compliance.
Benchmark LLMs, evaluate fine-tuning strategies, and collaborate with cross-functional teams to deliver PoCs and enterprise-grade GenAI rollouts.
Bachelor’s or Master’s degree in Computer Science, AI, or related field.
5+ years experience in NLP/ML/AI with at least 3 years hands-on experience in Generative AI.
Proficiency in Python and frameworks such as PyTorch, Hugging Face, LangChain, LlamaIndex.
Experience with cloud AI platforms (AWS/GCP/Azure) and vector databases (e.g., Pinecone, FAISS, pgvector).
Position based onsite in Mumbai.
Operates well in a consulting environment building bespoke AI solutions tailored to business requirements.
Experienced in end-to-end AI product lifecycle including design, prototyping, deployment, and iteration with measurable impact on deliverables.
Has strong expertise in integrating advanced AI models into scalable, secure, and compliant cloud-based architectures.