Ml Architect (Ai & Automation)

TL;DR

Ml Architect (Ai & Automation): Defining and leading the architectural vision for the applied ML ecosystem, focusing on driving forecasting, predictive modeling, and production-grade MLOps capabilities. Focus on establishing best‑in‑class ML patterns, championing model lifecycle excellence, and advancing enterprise ML maturity.

Location: Istanbul, Turkey

Company

hirify.global is a global jewelry manufacturer and retailer.

What you will do

• Guide ML direction across forecasting, optimisation, recommendations, and predictive analytics.
• Lead the design and architecture of ML systems, including forecasting pipelines, demand/sales/promotions prediction models, and anomaly detection systems.
• Architect end-to-end MLOps pipelines covering training, evaluation, deployment, and monitoring for high-scale model fleets.
• Evaluate third-party forecasting and ML SaaS solutions and guide integration into internal systems.
• Define and enforce architectural and MLOps standards that ensure models meet NFRs.
• Work closely with the Data & AI Platform, retail analytics, supply chain and merchandising teams to ensure ML solutions are scalable and production-ready.

Requirements

• Extensive experience designing and deploying ML architectures, including forecasting, predictive modelling, and MLOps.
• Strong background in traditional ML, time-series modelling, and ML productionisation at enterprise scale.
• Prior experience as an ML Architect, Solutions Architect, Machine Learning Engineer, or similar senior role.
• Expertise with forecasting frameworks.
• Strong understanding of ML lifecycle management, feature stores, ML observability, and performance optimisation.
• Hands-on experience with Cloud ML platforms (Azure preferred), Databricks, Fabric, Spark, MLOps frameworks.

Nice to have

• Azure / AWS / GCP ML or AI certifications.
• Experience with ML governance, risk management, explainability, and cost-optimised ML architectures.

Culture & Benefits

• Hybrid Work (home/office)
• Paid Vacation
• Sick Days
• Sport/Insurance Compensation
• Holidays Day Off
• English Classes
• Training Compensation
• Transportation compensation