AI/ML Engineering Lead: HPC, Cloud & GenAI

Accenture

Dubai

On-site

AED 500,000 - 900,000

Full time

13 days ago

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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

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,

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