AI/ML Solutions Engineer — Production Systems & GenAI

8400 Accenture MEBV-QFC Branch Company; Doha; On-site; QAR 250,000 - 420,000; Full time

Job summary

Accenture Doha seeks an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions across the full lifecycle, from needs assessment to production deployment. You will tailor models (including Deep Learning and Gen AI) and develop scalable data and MLOps pipelines, collaborating with business and technical teams to deliver value.

The role emphasizes deploying models in production at scale, evaluating model performance, and communicating complex concepts to

Qualifications

• Bachelor's degree or equivalent required.
• Proven experience deploying ML models in production at scale.
• Experience with distributed computing and big data.
• Experience building AI/ML software for a cloud environment.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with language models APIs.
• Strong communication and client-facing skills.
• MS or PhD preferred.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines with DevOps & MLOps.
• Customize DL and Gen AI models for business use cases.
• Engage in R&D for new AI algorithms and simulations.
• Work with large-scale datasets and ensure high-quality inputs.
• Implement and maintain storage/retrieval for models and knowledge.
• Justify model approaches to business stakeholders.
• Collaborate with cross-functional teams to deliver end-to-end projects.

Skills

Python programming

ML engineering

DevOps / MLOps

Distributed computing

Cloud technologies

Communication skills

Education

Bachelor's degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

LLM APIs

Python

C++

Java

R

SQL

Job description

Accenture Doha seeks an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions across the full lifecycle, from needs assessment to production deployment. You will tailor models (including Deep Learning and Gen AI) and develop scalable data and MLOps pipelines, collaborating with business and technical teams to deliver value.

The role emphasizes deploying models in production at scale, evaluating model performance, and communicating complex concepts to