Gen AI Solutions Engineer

We are currently looking for an Gen AI Solutions Engineerposition and would appreciate your support in identifying suitable candidates. Role: Gen AI Solutions Engineer Experience: 7+ Years Location: Bangalore (Hybrid) Budget CTC: 3 LPM Context: Develop and support AI (including generative and agentic AI) use cases in Dataiku aligned with business needs. Experience: 6-8 Years Objectives: Understand business requirements and translate them into scalable and technically feasible AI/ML solutions Design, develop and deploy robust, scalable, and efficient machine learning, deep learning, GenAI solutions Build end-to-end data pipelines including data ingestion, pre-processing, model training, evaluation & deployment Develop strong hands-on expertise in Dataiku DSS, including flow design and automation Hands-on experience in advanced architectures as RAG, K-RAG, CAG and understand their end-to-end design and implementation. Build scalable and production ready AI solutions with proper versioning, monitoring and performance optimization Implement efficient data pipelines using Python, SQL, Streamlit application development and API integrations within Dataiku. Understand and maintain CICD pipeline Technical requirements: Python, SQL Dataiku, Streamlit RAG, K-RAG, CAG , LLM Concepts We are currently looking for an Gen AI Solutions Engineerposition and would appreciate your support in identifying suitable candidates. Role: Gen AI Solutions Engineer Experience: 7+ Years Location: Bangalore (Hybrid) Budget CTC: 3 LPM Context: Develop and support AI (including generative and agentic AI) use cases in Dataiku aligned with business needs. Experience: 6-8 Years Objectives: Understand business requirements and translate them into scalable and technically feasible AI/ML solutions Design, develop and deploy robust, scalable, and efficient machine learning, deep learning, GenAI solutions Build end-to-end data pipelines including data ingestion, pre-processing, model training, evaluation & deployment Develop strong hands-on expertise in Dataiku DSS, including flow design and automation Hands-on experience in advanced architectures as RAG, K-RAG, CAG and understand their end-to-end design and implementation. Build scalable and production ready AI solutions with proper versioning, monitoring and performance optimization Implement efficient data pipelines using Python, SQL, Streamlit application development and API integrations within Dataiku. Understand and maintain CICD pipeline Technical requirements: Python, SQL Dataiku, Streamlit RAG, K-RAG, CAG , LLM Concepts