AI Specialist

LanceSoft Middle East; Dubai; On-site; AED 250,000 - 500,000; Full time

Job summary

LanceSoft Middle East in Dubai is seeking an AI Specialist to drive advanced AI projects in production environments. The role requires 3–5 years of hands-on experience and a strong foundation in Python, SQL, ML, and data pipelines.

You will collaborate with cross-functional teams and external vendors, manage projects, and apply cloud-based MLOps practices using Azure, AWS, or Google Cloud. A Bachelor's degree is required, with a master's preferred.

Qualifications

• Bachelor's degree in computer science, engineering, mathematics, or a related quantitative field.
• Master's degree in data science, AI, ML, or similar scientific discipline preferred.
• 3-5 years of experience developing and deploying AI/ML solutions in production environments.

Responsibilities

• Deliver end-to-end AI solutions from problem framing to deployment and user adoption.

Skills

Python

SQL

API design

Version control

ML & AI fundamentals

Generative AI & LLMs

Data modeling & pipelines

Cloud platforms (Azure/AWS/GC)

MLOps / CI/CD

Project management

Arabic language skills

Education

Bachelor's degree in computer science / engineering / mathematics

Master's degree in data science / AI / ML

Tools

Docker

Kubernetes

Git

REST APIs

Job description

Job Title: AI Specialist

Location: Dubai

Duration: Permanent

Qualifications

Bachelor's degree in computer science, Engineering, Mathematics, or a related quantitative field; master's degree in data science, Artificial Intelligence, Machine Learning, or a similar scientific discipline is preferred.

Years & nature of experience

3-5 years of experience developing and deploying AI or machine-learning solutions in production environments.

Core Competencies

Technical Skills

• Demonstrated experience delivering solutions end to end, from problem definition and data preparation through model or application development, deployment, and user adoption.
• Experience managing or coordinating technical projects with cross-functional stakeholders and external vendors.
• Strong programming skills in Python and SQL, with sound software-engineering practice (version control, testing, API design).
• Solid grounding in machine learning, including supervised and unsupervised learning, feature engineering, model evaluation and validation, and common ML libraries and frameworks.
• Hands-on experience with generative AI and LLMs, including building applications on large language models, prompt engineering, retrieval-augmented generation, agent frameworks, evaluation, and guardrails.
• Strong data skills, including data modeling, data pipelines, relational databases, and integration with enterprise systems (CRM, ERP) through APIs.
• Deployment and MLOps experience, including containerization, cloud platforms (Azure, AWS, or Google Cloud), model versioning, monitoring, and CI/CD.
• Experience with workflow-automation and system-integration tools.
• Project management skills covering scoping, planning, risk, and vendor management, with familiarity with agile delivery and PMO practices.
• Experience with cloud AI services (e.g., Azure AI, AWS Bedrock, Google Vertex AI) and vector databases is an advantage.
• Experience in regulated or service-oriented environments such as government, free zones, healthcare, or financial services is preferred.
• Project management certification (PMP, PRINCE2, or equivalent) and Arabic language skills are an advantage.