AI/ML Computational Science Manager | Dubai, UAE

Accenture; Dubai; On-site; AED 500,000 - 900,000; Full time

Job summary

Accenture seeks an experienced AI/ML Engineering Manager to lead design, development, and deployment of scalable AI and ML solutions across cloud, edge, and HPC environments. You will guide R&D into new algorithms and models, transform business needs into production-grade AI systems, and mentor a team of engineers and data scientists.

You will collaborate with clients and stakeholders to identify AI opportunities, drive delivery from concept to production, and ensure high-quality data pipelines,

Qualifications

• 10+ years of experience in AI/ML engineering, data science, or software engineering with leadership experience
• Hands-on with at least one major cloud AI platform (Azure/AWS/Google)
• Strong Python programming and DL frameworks (PyTorch/TensorFlow)
• Deep Learning and Generative AI including LLMs, RAG, and prompt engineering
• MLOps/DevOps experience: CI/CD, Docker, Kubernetes, MLflow/Kubeflow, model monitoring
• Experience building large-scale data pipelines (Spark, Databricks, Airflow, Kafka)
• Experience with data storage, vector databases (FAISS/M Milvus/Pinecone) and edge/HPC deployment (ONNX, TensorRT, CUDA)
• Ability to communicate technical solutions and business value to senior stakeholders
• Master/PhD preferred; cloud certifications beneficial
• Consulting or client-facing delivery experience helpful

Responsibilities

• Design and develop AI/ML systems using cloud services and platforms
• Architect scalable data pipelines for model training and production (DevOps/MLOps)
• Customize DL and Generative AI models for business use cases including edge/HPC deployment
• Evaluate AI solutions for quality, performance and business value
• Lead R&D of new algorithms, models, and simulations for complex problems
• Work with large-scale datasets and apply preprocessing for high-quality inputs
• Implement and maintain data storage/retrieval for models and knowledge bases
• Lead and mentor a team of AI/ML engineers and data scientists
• Partner with clients to identify AI opportunities and drive production delivery

Skills

Leadership

Communication with stakeholders

Cloud AI platform experience

Python programming

Education

Master's or PhD in CS/AI/DS/Applied Math

Bachelor's degree in CS/Engineering

Tools

Azure AI / Azure ML

AWS SageMaker / Bedrock

Google Vertex AI

PyTorch

TensorFlow

Docker

Kubernetes

MLflow / Kubeflow

Spark

Databricks

Airflow

Kafka

SQL/NoSQL

FAISS / Milvus / Pinecone

ONNX

TensorRT

CUDA

Edge/HPC deployment

Job description

AI/ML Computational Science Manager

Role Summary

We are looking for an experienced AI/ML Engineering Manager to lead the design, development, and deployment of scalable AI and machine learning solutions. You will turn business needs into production-grade AI systems, using cloud AI services, deep learning, and Generative AI across cloud, edge, and High Performance Computing (HPC) environments. You will also lead R&D into new algorithms and models to solve complex problems.

Key Responsibilities

• Design and develop AI and ML systems using existing cloud AI services and platforms.
• Architect and build scalable data pipelines for model training and production, applying DevOps and MLOps best practices.
• Customize and apply Deep Learning and Generative AI models to business use cases, based on data availability and system and infrastructure requirements, including edge devices and HPCs.
• Evaluate and justify the quality, performance, and business value of AI solutions to stakeholders.
• Lead research and development of new AI and high-performance compute algorithms, models, and simulations, and apply them to complex business problems.
• Work with large-scale datasets and apply data preprocessing techniques to ensure high-quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge bases using appropriate tools.
• Lead, mentor, and develop a team of AI/ML engineers and data scientists, setting technical direction and engineering standards.
• Partner with clients and business stakeholders to identify AI opportunities, shape solutions, and drive delivery from concept to production.

Required Qualifications

• 10+ years of experience in AI/ML engineering, data science, or software engineering, including proven experience leading technical teams.
• Hands‑on experience with at least one major cloud AI platform (e.g., Azure AI / Azure ML, AWS SageMaker / Bedrock, Google Vertex AI).
• Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Solid expertise in Deep Learning and Generative AI, including LLMs, fine‑tuning, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Strong MLOps and DevOps experience: CI/CD, Docker, Kubernetes, MLflow or Kubeflow, and model monitoring in production.
• Experience building large‑scale data pipelines with tools such as Spark, Databricks, Airflow, or Kafka.
• Experience with data storage and retrieval technologies, including SQL/NoSQL databases, data lakes, and vector databases (e.g., FAISS, Milvus, Pinecone).
• Experience optimizing and deploying models on edge devices (e.g., ONNX, TensorRT, quantization) and/or HPC environments (e.g., CUDA, distributed training).
• Ability to communicate technical solutions and their business value clearly to senior stakeholders.

Preferred Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or a related field.
• Track record in AI or HPC research, such as publications, patents, or simulation work.
• Relevant cloud AI certifications (Azure, AWS, or Google Cloud).
• Consulting or client‑facing delivery experience.

Education

• Bachelor's degree in Computer Science, Engineering, or a related field.

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.