AI/ML Computational Scientist Manager

Accenture Middle East; Saudi Arabia; On-site; SAR 240,000 - 420,000; Full time

Job summary

Accenture Middle East seeks an AI ML Computational Scientist to design, build and operationalize enterprise AI/ML solutions, combining custom models with cloud services for production-ready outcomes across the full solution lifecycle.

You will formulate real-world problems, develop algorithms, create scalable data pipelines with MLOps, tailor GenAI and LLM approaches, and collaborate with business and technical teams to deploy reliable, value-driving AI at client sites.

Qualifications

• Bachelor's Degree or equivalent in a relevant field.
• Experience deploying models in production at scale with monitoring, alerting, and auditing.
• Familiar with cloud environments and distributed computing.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms, models, and computational systems.
• Design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for various use cases.
• Engage in R&D of AI/ML algorithms and simulations for client applications.

Skills

Team collaboration

Client-facing

Communication

Entrepreneurial mindset

Curiosity for emergent tech

Consulting experience

Education

Bachelor's Degree or equivalent

MS or PhD in related field preferred

Tools

Python

TensorFlow

PyTorch

C++

Java

R

SQL

Distributed computing

Job description

YOU ARE As an AI ML Computational Scientist you will design build and operationalize artificial intelligence and machine learning solutions for enterprise clients combining custom models with cloud and third-party AI services to deliver production-ready outcomes Your role spans the full solution lifecycle assessing client needs and data selecting and customizing models including Deep Learning Generative AI and Large Language Models designing scalable data and MLOps LLMOps pipelines for training and production and ensuring quality value and reliability of deployed systems

THE WORK

• Formulate real-world problems into practical efficient and scalable AI and Machine Learning solutions
• Develop and implement machine learning algorithms models and computational systems
• design and build scalable data pipelines to support model training and production with DevOps amp MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs data availability system and infrastructure requirements - including edge device and HPC
• Engage in research and development of new AI and high-performance compute algorithms models and simulations along with their applications to solve complex business problems at client sites
• Work with large-scale datasets and utilize 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 using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides including users use case representatives business owners engineers architects and UI designers to achieve end-to-end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

• Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
• Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience in building and deploying AI/ML based software to a cloud environment.

.PREFERRED QUALIFICATION

• Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
• Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders Strong client-facing skillsets in a consulting environment Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovationMS or PhD in related field preferred (computer science, engineering, etc.)