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Technical Project Manager – AI​/ML

Job in Abu Dhabi, UAE/Dubai
Listing for: Imbibe Consultancy Services Pvt Ltd
Full Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

About Us

Ace Net Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. Ace Net’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms.

With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), Ace Net brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Summary

We are seeking an experienced Technical Project Manager with a strong background in AI/ML development to lead the delivery of cutting‑edge AI solutions for enterprise customers. The ideal candidate will combine technical expertise in AI/ML technologies, including Retrieval‑Augmented Generation (RAG), with strong project management and stakeholder management skills. This is a customer‑facing role requiring the ability to engage with business and technical stakeholders, drive project execution, and ensure successful delivery of AI‑powered products and solutions.

Key Responsibilities
  • Lead end-to-end delivery of AI/ML projects from requirements gathering through deployment and post-production support.
  • Manage project scope, timelines, risks, dependencies, and resource allocation.
  • Work closely with AI/ML engineers, data scientists, architects, and product teams to deliver scalable AI solutions.
  • Drive customer discussions, understand business requirements, and translate them into technical deliverables.
  • Facilitate project planning, sprint reviews, status reporting, and stakeholder communication.
  • Monitor project progress and ensure alignment with quality, budget, and timeline expectations.
  • Provide technical guidance and oversight on AI/ML solution design and implementation.
  • Collaborate with customers to define use cases, success metrics, and deployment strategies.
  • Identify project risks and proactively develop mitigation plans.
  • Stay updated on emerging AI technologies and industry best practices.
Required

Skills & Qualifications
  • 5–8 years of overall experience, including experience as a Technical Project Manager or similar role.
  • Strong hands‑on background in Artificial Intelligence (AI) and Machine Learning (ML) development.
  • Good understanding of Generative AI, Large Language Models (LLMs), and Retrieval‑Augmented Generation (RAG) architectures.
  • Experience managing AI/ML product development and deployment projects.
  • Knowledge of AI/ML frameworks and tools such as Python, Tensor Flow, PyTorch, Lang Chain, Llama Index, Vector Databases, or similar technologies.
  • Experience working in Agile/Scrum environments.
  • Excellent project planning, risk management, and stakeholder management skills.
  • Strong customer‑facing and consulting experience.
  • Exceptional verbal and written communication skills.
  • Ability to bridge business requirements and technical implementation.
Preferred Qualifications
  • Experience delivering GenAI solutions in enterprise environments.
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  • Project Management certifications such as PMP, PRINCE2, Scrum Master, or Agile certifications.
  • Experience with AI solution architecture and deployment strategies.
Key Competencies
  • Technical Leadership
  • Customer & Stakeholder Management
  • Project Delivery & Execution
  • Communication & Presentation Skills
  • Problem Solving & Decision Making
  • Cross‑functional Team Collaboration
  • Risk & Dependency Management
Nice to Have
  • Experience with MLOps, model deployment, and monitoring.
  • Exposure to prompt engineering, vector search, embeddings, and AI agent frameworks.
  • Experience working with global customers and distributed teams.
Preferred

A technically strong Project Manager with hands‑on AI/ML expertise, practical experience with RAG‑based solutions, excellent communication skills, and…

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