AI Engineer

Role : Turn operational and ERP data into practical, secure AI capabilities that improve delivery reliability, quality, productivity, inventory decisions and management visibility across our premium custom hand-knotted carpet business.Responsibilities : - Support business decision making by deriving actionable insights from structured and unstructured data.- Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, building and evaluating ML models.- Research and implement novel machine learning approaches to enable informed business decisions.- Collaborate with business and engineering teams to analyze, extract, normalize, and label relevant data.- Perform data engineering, feature engineering, data preprocessing to train and tune ML models.- Utilize BI tools to prepare reports, analyze and visualize data.- Implement MLOps practices such as CI/CD and continuous training (CT) for deploying and maintaining ML models in production environments.Requirements : - PG / Graduate with 4 - 8 years of relevant engineering experience, with evidence of delivering at least two AI/ML or generative-AI solutions beyond a demonstration environment.- Ability to analyse business processes, define measurable outcomes and work directly with non-technical functional users.- Clear written and spoken English.- Experience integrating with Microsoft Dynamics 365 Business Central or another manufacturing/operations ERP.- Exposure to manufacturing, production, supply chain, quality or export operations.- Proven experience in analyzing and working with large datasets.- Hands on experience with various BI tools, SQL.- Expertise in applying both supervised and unsupervised learning techniques.