MLOps Platform Architect

WomenTech Network; Abu Dhabi; On-site; AED 477,000 - 588,000; Full time

Job summary

A leading technology services provider in the UAE is seeking an experienced MLOps Platform Architect to design and manage state-of-the-art machine learning ecosystems. The ideal candidate should have over 10 years of experience in operationalizing complex MLOps platforms and a strong background in AI/ML lifecycle management and deployment automation. This role offers a unique opportunity to work on innovative solutions that empower enterprise-level AI applications.

Benefits

Employee learning programs

Access to industry certifications

Company-wide volunteering and giving platform

Qualifications

• Over 10 years of experience designing and operationalizing complex, scalable MLOps platforms.
• Deep expertise in AI / ML lifecycle management and deployment automation.
• Proficiency with advanced deployment strategies like Alpha/Beta testing.

Responsibilities

• Architect and optimize end-to-end MLOps platforms supporting robust deployment pipelines.
• Design scalable infrastructure for AI / ML models.
• Collaborate with teams to integrate AI models and enhance platform usability.

Skills

AI / ML lifecycle management

Deployment automation

Performance optimization

Scalable serving frameworks

Collaboration

Education

Bachelor's or master's degree in computer science, Engineering, Data Science

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Overview

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Kyndryl is seeking an accomplished MLOps Platform Architect to lead the design, build, and continuous operation of a cutting-edge Machine Learning Operations ecosystem. This individual contributor role is pivotal in creating scalable, secure, and performance-optimized platforms that integrate advanced AI and Agentic AI systems, enabling seamless deployment and management of machine learning models across both online and offline environments.

Key Responsibilities

• Architect, implement, and optimize end-to-end MLOps platforms supporting robust deployment pipelines for diverse ML workloads.
• Design scalable infrastructure for training, serving, and monitoring AI / ML models, leveraging parallel processing, load balancing, and performance tuning techniques.
• Develop and automate CI / CD pipelines incorporating Alpha / Beta testing, Blue / Green deployments, with a focus on deployment automation and production readiness.
• Establish comprehensive model monitoring frameworks to track performance, detect drift, and ensure stability and compliance in production.
• Collaborate closely with data scientists, AI engineers, and platform teams to integrate AI models, support experimental workflows, and enhance platform usability.
• Ensure enterprise-grade platform security, governance, and operational compliance.
• Lead initiatives on platform scalability, cost efficiency, and resource provisioning, maintaining thorough architectural documentation.
• Proactively research and recommend cutting-edge technologies and best practices in MLOps to keep the platform at the forefront of innovation.

Who You Are

Required Qualifications :

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or related fields.
• Over 10 years of experience designing and operationalizing complex, scalable MLOps platforms with strong production readiness.
• Deep expertise in AI / ML lifecycle management, deployment automation, performance optimization, and scalable serving frameworks.
• Proficiency with advanced deployment strategies including Alpha / Beta testing, Blue / Green deployments, and load balancing.
• Hands-on experience in parallel processing techniques for scalable training and inference.
• Strong knowledge of modern data ecosystems, containerization (Docker, Kubernetes), orchestration, and cloud AI / ML services (AWS, Azure, GCP).
• Expertise in integrating AI engines and emerging Agentic AI technologies.
• Proven capability as a collaborative team player in cross-functional environments.
• Industry experience in enterprise AI / ML, preferably within financial services or regulated industries.

Preferred Qualifications :

• Skills in requirements gathering, translating business needs into technical platforms.
• Strong background in DevOps and infrastructure automation practices.
• Broad understanding of data science algorithms and AI model development.
• Advanced cloud architecture expertise and knowledge of data engineering platforms. Excellent communication, organizational, and documentation skills.
• Experience driving platform adoption, user experience improvements, and stakeholder engagement.
• Certifications in cloud platforms and MLOps tools are advantageous.

This role at Kyndryl offers an outstanding opportunity to architect and spearhead next-generation MLOps platforms that empower scalable, intelligent AI solutions for enterprise innovation and transformation. The ideal candidate thrives on technical excellence, strategic thinking, and impactful collaboration in a dynamic environment.

#AgenticAI

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact\'s Kyndryl email address.