Cloud Automation Architect

Overview

Design and lead AWS cloud automation, UI/API, data & MLOps solutions.

Key Responsibilities

• mlops pipelines
• model versioning
• api design
• data visualization
• aws sagemaker
• cost optimization

Tasks

-Establish ML Ops best practices for data-driven decision-making -Guide teams on UI frameworks (React/Angular) for building dashboards and portals -Establish best practices for model versioning, reproducibility, CI/CD for ML, and monitoring model drift. -Architect and implement end-to-end MLOps pipelines for training, deployment, and monitoring ML models. -Implement operations use cases using Data Visualization and Cloud Automation -Optimize automation for cost, performance, and security -Use AWS services like SageMaker, Step Functions, Lambda, Kinesis, Glue, S3, Redshift for ML workflows. -Design and oversee development of APIs and microservices to support automation -Translate business needs into scalable, secure, and cost-effective technical solutions. -Collaborate with product owners to prioritize and align technical solutions with business outcomes -Drive POCs and innovation initiatives for automation at scale -Ensure seamless integration between APIs, front-end applications, OCR and cloud services -Mentor engineering teams on cloud-native automation practices -Lead automation initiatives across infrastructure, application workflows, and data pipelines -Define E2E architecture spanning cloud infrastructure, APIs, UI, and visualization layers -Work with tools like Amazon QuickSight, Power BI to enable business insights -Define architecture for data ingestion, transformation, and visualization on AWS.

Requirements

• aws
• python
• mlops
• react
• automation
• data engineering

What You Bring

-Expertise in AWS Cloud services for compute, data, and ML workloads -UI & API Integration -8–10 years of experience in cloud architecture, automation, and solution design -Experience with data engineering & visualization tools -Strong understanding of security, IAM, compliance, and networking in AWS -Hands-on experience with MLOps pipelines (model training, deployment, monitoring). -Knowledge of UI frameworks (React, Angular, Vue) for portals and dashboards -Architect and design automation solutions leveraging Cloud services and data management -Deep expertise in Python for automation Use cases and understanding of ML Ops -Automation on Cloud

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About Kone

-Specializes in the design, manufacturing, installation, and maintenance of elevators and escalators. -Focuses on making the flow of people in and between buildings smoother, more efficient, and sustainable. -Known for its innovative solutions like the KONE UltraRope and KONE Destination Control System. -A key player in both new construction and modernization projects, ensuring safety, energy efficiency, and reliability. -Typically involved in landmark projects like airports, office towers, shopping centers, and residential complexes. -Committed to technological advancements, including smart building solutions and predictive maintenance.

Sector Specialisms