Lead Data & AI/ML Engineering & Architecture

TalentOne; Dubai; Hybrid; AED 480,000 - 720,000; Full time

Benefits offered by this job

Medical insurance

Annual flight allowance

Visa sponsorship

Hybrid working

Learning budget

Job summary

TalentOne is seeking a hybrid leadership role blending technical leadership and people management. You’ll own the architecture and delivery of backend and AI/ML systems, design data and ML pipelines, and guide the team through productionization and scale.

Expect to mentor engineers while staying hands-on with critical services and prototypes. The role emphasizes deep Python expertise, FastAPI experience, and strong CI/CD discipline, with a focus on MLOps and AI pipelines involving LLMs.

Qualifications

• 6+ years of professional software engineering experience with backend and AI/ML systems exposure.
• Strong command of Python and asynchronous programming.
• Strong relational DB skills—PostgreSQL and MySQL.
• Production experience with Databricks/Spark.
• Experience building and orchestrating pipelines with Airflow; production experience with Kafka or similar.
• Experience with Python web frameworks, particularly FastAPI.
• Solid grounding in containerization and orchestration—Docker and Kubernetes.
• Ownership of deployment and delivery practices—CI/CD and release management.
• Working knowledge of data pipelines, AI/ML pipelines, and the MLOps lifecycle.
• Demonstrated technical leadership—driving architecture, mentoring engineers, and setting standards.

Responsibilities

• Own the architecture, technical roadmap, and delivery of the team’s backend and AI/ML systems, from design through production operation.
• Lead the productionization of ML and AI work—turning data scientists’ experimentation into reliable, maintainable services, standalone or integrated with dependent systems.
• Design and review data and ML pipelines: deterministic/classical ML pipelines as the core, plus complex data pipelines incorporating LLM calls.
• Set and uphold engineering standards — code quality, testing, observability, deployment practices, and MLOps lifecycle discipline.
• Own delivery for the team — planning, prioritization, and dependable execution against commitments.
• Stay hands-on: contribute directly to critical services, prototypes, and the hardest problems.
• Manage, mentor, and grow a team of ~5–7 engineers and QAs — career development, performance, hiring, and day-to-day delivery.
• Partner with product, business, other backend teams, and DevOps to align on priorities, interfaces, SLAs, and integration.
• Drive decisions on infrastructure, deployment (CI/CD), monitoring, and reliability across the team’s systems.

Skills

Python

Async programming

PostgreSQL

MySQL

Databricks

Spark

Airflow

Kafka

FastAPI

Redis

Docker

Kubernetes

CI/CD

MLOps

Technical leadership

Team mentoring

Tools

Databricks

PostgreSQL

MySQL

Docker

Kubernetes

FastAPI

Redis

Airflow

CI/CD

Spark

Job description

TalentOne is seeking a hybrid leadership role blending technical leadership and people management. You’ll own the architecture and delivery of backend and AI/ML systems, design data and ML pipelines, and guide the team through productionization and scale.

Expect to mentor engineers while staying hands-on with critical services and prototypes. The role emphasizes deep Python expertise, FastAPI experience, and strong CI/CD discipline, with a focus on MLOps and AI pipelines involving LLMs.