Release Manager

Deeplight; Dubai; On-site; AED 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Gold level health insurance

Individual visa sponsorship

Professional development support

Subscription reimbursement

Cutting-edge AI projects

Monthly incentive program

Career advancement opportunities

Job summary

DeepLight AI seeks a highly technical Release Manager (MLOps Delivery Lead) to oversee end-to-end delivery and governance of Data Science workloads on AWS for Dubai-based enterprise clients.

You will translate data science requirements into executable plans, orchestrate engineering squads, drive CAB processes, and ensure production readiness with strict security and regulatory controls.

Qualifications

• Minimum 8+ years delivering complex cloud/data/ML programs in enterprise settings.
• Strong track record in end-to-end ML lifecycle delivery and production deployments.
• Experience with regulated sectors, security, and audit requirements.

Responsibilities

• Lead end-to-end MLOps delivery for AWS-based platforms.
• Translate analytics requirements into technical epics, NRFs, and roadmaps.
• Coordinate AWS account topology, IAM, VPC, and network dependencies.
• Manage change governance, CAB processes, and rollback readiness.
• Ensure DevSecOps, data privacy, and model risk controls are met.

Skills

Delivery leadership

MLOps

AWS cloud

DevSecOps

CAB governance

Terraform

CI/CD

Kubernetes

Security & compliance

Tools

Terraform

GitHub Actions

Docker

Kubernetes

SageMaker

Job description

DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. We combine deep quantitative expertise, cutting-edge cloud architecture, and modern MLOps to engineer secure, scalable, and resilient platforms designed to power enterprise AI at scale.

With deep roots across the financial services and banking sectors in the UAE, we help major institutions bridge the gap between experimental data science models and enterprise-grade production platforms. We don't build temporary fixes—we engineer bulletproof, banking-grade AI and cloud solutions for high-stakes digital transformations.

The Opportunity

We are seeking a highly technical Release Manager (MLOps Delivery Lead) to drive the end-to-end technical delivery, release governance, and production operations of Data Science and Machine Learning workloads on AWS for our tier-one enterprise client engagements in Dubai.

This is not a conventional project management role. It sits at the convergence of technical delivery leadership, AWS cloud infrastructure, MLOps, DevSecOps, networking, and production change governance. You will translate complex data science requirements into executable technical plans, orchestrate specialist engineering squads, and drive models and platform changes through enterprise CAB processes into high-availability production environments.

What You’ll Do

• Drive End-to-End MLOps Delivery: Lead technical delivery planning and execution for AWS MLOps platform capabilities, model deployments, and supporting cloud infrastructure across dev, test, and production environments.
• Translate Data Science Requirements: Partner with Data Scientists, Product Owners, and business teams to translate complex analytics algorithms into executable technical epics, NFRs, deployment roadmaps, and acceptance criteria.
• Orchestrate Cloud & Network Infrastructure: Coordinate AWS account topologies, IAM, compute, storage, container/Kubernetes dependencies, VPC subnets, firewalls, PrivateLink endpoints, and DNS configurations across enterprise cloud teams.
• Lead Change Governance & CAB: Create and manage technical change requests, sequence release activities, build CAB evidence packages, coordinate release windows, and lead rollback readiness for multi-layered production deployments.
• Enforce DevSecOps & Model Risk Controls: Work alongside Cybersecurity, Data Privacy, and Model Risk Validation teams to ensure strict compliance with regional banking regulations, audit standards, and automated CI/CD/CT pipelines.
• Guarantee Production Readiness & FinOps: Ensure production telemetry covers infrastructure, data quality, and model drift; monitor AWS compute consumption and token spend to optimize operational costs.

As an AI consultancy, our greatest asset is the expertise of our people.

While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you'll fit right in.

What We’re Looking For

• Technical Delivery Leadership: 8+ years of hands-on technology delivery experience managing complex cloud, data platform, or machine learning programs in enterprise environments.
• Technical Release Mastery: Proven track record planning and executing complex production releases involving cloud infrastructure, network/firewall updates, change requests, CAB sign-offs, and rollback management.
• MLOps & AWS Cloud Fluency: Strong technical understanding of the full ML lifecycle (SageMaker, feature stores, experiment tracking, model registries, inferencing, drift monitoring) and core AWS services (IAM, VPC, ECS/EKS, S3, CloudWatch).
• DevOps & Infrastructure Skills: Practical knowledge of Terraform, CI/CD/CT pipelines (GitHub Actions), containerization (Docker/K8s), and environment segregation.
• Governance & Security Rigor: Direct experience delivering technical solutions within highly regulated sectors subject to strict Model Risk, Cybersecurity, and Data Privacy rules.

What Gives You an Edge

• Sector Background: Prior experience building and releasing data platforms or AI models inside Financial Services, Banking, or Capital Markets.
• AWS Certifications: AWS Certified Solutions Architect – Professional or AWS Certified Machine Learning – Specialty.
• Delivery Frameworks: PMP, PRINCE2, SAFe, or Agile credentials backed by strong technical delivery experience.

Why DeepLight AI?

At DeepLight AI, you will sit at the operational heart of high-impact AI transformations across the region. You will work alongside sharp, collaborative peers, lead multi-disciplinary delivery squads, and help bridge the gap between cutting-edge AI research and production-grade execution.

The benefits you'll enjoy as part of this role include:

• Competitive salary
• Comprehensive 'Gold Level' personal health insurance
• Individual Visa Sponsorship
• Professional development and certification support
• Subscription reimbursement relating to your role
• Opportunity to work on cutting-edge AI projects
• Monthly Employee Incentive program
• Career advancement opportunities in a rapidly growing AI company
  

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.