Gen AI Solutions Engineer

Introduction & Summary:

We are seeking an experienced Gen AI Solutions Engineer to develop and support AI use cases in Dataiku that align with business needs. The ideal candidate should possess 6-8 years of experience and demonstrate a strong ability to translate business requirements into scalable AI/ML solutions.

Main Responsibilities:

The successful candidate will be responsible for:

• Understanding business requirements and translating them into scalable and technically feasible AI/ML solutions.
• Designing, developing, and deploying robust, scalable, and efficient machine learning and generative AI solutions.
• Building end-to-end data pipelines including data ingestion, pre-processing, model training, evaluation, and deployment.
• Developing expertise in Dataiku DSS, including flow design and automation.
• Implementing advanced architectures such as RAG, K-RAG, and CAG, with knowledge of their end-to-end design and implementation.
• Building scalable and production-ready AI solutions with proper versioning, monitoring, and performance optimization.
• Implementing efficient data pipelines using Python, SQL, and Streamlit, along with API integrations within Dataiku.
• Maintaining and understanding the CICD pipeline.

Key Requirements:

• Proficiency in Python and SQL.
• Hands-on experience with Dataiku and Streamlit.
• Familiarity with advanced architectures, specifically RAG, K-RAG, and CAG.
• Understanding of LLM concepts.

Other Details:

This role is focused on the integration of AI solutions in a data-centric environment and may offer remote work flexibility. The expected engagement duration is long-term, reflecting ongoing business needs.