AI Project Specialist

LanceSoft, Inc.; United Arab Emirates; On-site; AED 133,000 - 180,000; Full time

Job summary

LanceSoft, Inc. seeks an AI Project Specialist in Dubai to lead end-to-end AI initiatives from problem framing to deployment and user adoption.

You will coordinate with cross-functional teams and external vendors, leverage Python/SQL, ML fundamentals, and advanced generative AI techniques in a regulated environment where accuracy and governance matter. The role emphasizes data modeling, API integrations with enterprise systems, and robust MLOps practices across cloud platforms.

Qualifications

• Experience delivering end-to-end solutions from problem definition to deployment.
• Ability to coordinate cross-functional teams and external vendors.
• Strong Python and SQL skills with software engineering practices.
• Solid ML foundation and experience with supervised/unsupervised methods.
• Hands-on with generative AI, LLMs, prompts, and retrieval augmented generation.
• Data modeling, pipelines, and enterprise system integrations via APIs.
• Experience with deployment and MLOps including containerization and CI/CD.
• Familiarity with cloud AI services and vector databases is a plus.
• Project management skills with Agile/PMO practices; PMP/PRINCE2 is a plus.

Skills

End-to-end delivery

Stakeholder coordination

Python programming

SQL

Machine learning basics

Generative AI / LLMs

Data modeling & pipelines

MLOps / CI/CD

Cloud platforms

Agile / PMO

Vendor management

Arabic language (adv)

Tools

Git

Docker

APIs

Job description

Job Title: AI Project Specialist

Location: Dubai

Duration: Permanent

Salary: 14k AED per month

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, retrievalaugmented 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.