Ai engineer, mlops & production ai

As an AI Engineer, you'll transform AI prototypes and MVPs into scalable, production, grade products , ensuring the right Data Ops and Dev Ops foundations are in place, from data ingestion and transformation through to final deployment and observability. You'll play a central role in shaping i-Genie's architecture strategy and infrastructure

, optimizing for delivery speed, cost, and user experience. This isn't just about keeping systems running. You'll influence real architectural decisions, redesign models and processes to eliminate technical debt, and enforce data and development standards across the team. Your infrastructure will directly underpin AI solutions used by blue, chip clients to unlock high, stakes consumer insights. What You'll Work With Core Stack: Python, Py Spark, SQL AI/ML: LLMs, NLP pipelines, model fine, tuning, AI prototype productionization NLP Libraries: Core NLP, Open NLP, NLTK, Spacy, Text Blob, LLM APIs Cloud & Infrastructure: Azure suite, Databricks, containers, Kubernetes Collaboration: Work closely with data scientists, data engineers, and product teams