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GenAI specialization and metro location yield moderate applicant density with niche tooling reducing overall competition.
Role requires specialized GenAI and Dataiku expertise, limiting cross-industry transferability.
Explicit 7–10 years plus mandatory Dataiku, LLM and pipeline skills enforce strict technical filters.
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Develop and support generative and agentic AI use cases in Dataiku aligned with business needs.
Design, develop, deploy, and optimize scalable, production-ready AI/ML and GenAI solutions including architectures like RAG, K-RAG, CAG.
Build end-to-end data pipelines, automate flows in Dataiku DSS, implement CI/CD, and integrate APIs using Python, SQL, and Streamlit.
7+ years of professional experience in AI/ML or related domains.
Mandatory technical skills: Python, SQL, Dataiku DSS, Streamlit, knowledge of LLM concepts and advanced architectures such as RAG, K-RAG, CAG.
Location: Bangalore, India; Work mode: Hybrid required.
Work Experience Required: 7+ years.
Experienced in translating business requirements into scalable AI/ML solutions with hands-on Dataiku DSS flow design and automation expertise.
Familiar with deploying robust AI/ML systems with proper versioning, monitoring, and performance optimization in production environments.
Comfortable working in a senior engineering role involving advanced AI architectures, CI/CD pipelines, and cross-technology API integrations.