AIML Engineer

AIML Engineer Experience Level: 4 – 8 Years Location & Shift Location: Chennai Work Mode: Work From Office (WFO) Shift Timing: Day Shift Must-Have Skills Dataiku DSS (hands-on expertise) Python SQL Data Engineering (DE) R&D project fitment Role Overview This is a pure technical role focused on architecting and delivering scalable AI/ML and data solutions using the Dataiku DSS platform. The role requires strong hands-on expertise in Dataiku, combined with advanced Python and SQL capabilities, to build production-grade data pipelines and AI solutions aligned with enterprise data strategy. Key Responsibilities Architect and lead Dataiku DSS environments , aligning visual workflows and custom code with enterprise data strategy Collaborate with stakeholders to translate business requirements into scalable Dataiku workflows, web applications, and API-driven integrations Design and implement high-performance data pipelines using optimized SQL and advanced Python recipes Develop reusable logic, custom plugins, and modular project templates within the Dataiku ecosystem Automate data orchestration, validation, and quality checks using complex DSS scenarios Ensure robust monitoring, governance, and reliability across all data pipelines Evaluate new Dataiku features and integrate external APIs to enhance platform capabilities Deliver scalable, production-ready AI/ML solutions aligned with business objectives Mandatory Requirements Strong experience in Data Engineering + Dataiku DSS Proven exposure to R&D-oriented projects or solution development Hands-on expertise in Python and SQL for data pipeline development Experience in building end-to-end AI/ML workflows in Dataiku Preferred Skills (Optional but Valuable) Experience with API integrations and deployment frameworks Exposure to enterprise data governance and monitoring practices Ability to design modular and reusable data solutions Ideal Candidate Profile Strong technical problem-solving skills with a focus on scalable architecture Experience working in enterprise-level data environments Ability to work closely with cross-functional stakeholders Focus on engineering excellence, automation, and optimization Education: Bachelors Degree