AI/ML Computational Science Engineer

Accenture; Charlotte (NC); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

Life and long-term disability

401(k) plan

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. The role spans the full solution lifecycle — from assessing client needs to building scalable data pipelines and ensuring reliability in production.

You will work with Python, C++, Java, and SQL; have 3+ years deploying models at scale; hold a Bachelor’s degree; and be ready for

Qualifications

• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale.
• Bachelor's degree or equivalent work experience (minimum 12 years) or 6 years with an Associate's Degree.

Responsibilities

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production with DevOps & MLOps practices.
• Collaborate with business and technical teams to ensure end-to-end project success and client impact.

Skills

Python

ML deployment

Communication

Cross-functional collaboration

Cloud services

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

SQL

Job description

We Are

Accenture is helping enterprises reinvent their organizations and businesses with human-centered AI solutions and services to drive breakthrough innovation and lasting competitive advantage. With more than 45,000 AI and data professionals across the company, our AI & Data practice brings together cutting-edge AI technologies, deep industry experience, strategic investment, exceptional interdisciplinary talent, and a powerful ecosystem of partners to help clients scale AI with speed and confidence.

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 DevOps & MLOps 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 & 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

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Minimum of 1 years of 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

Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.

Bonus points if you have

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 innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 11/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Hourly Salary Range

California $26.39 to $77.88

Cleveland $24.42 to $62.31

Colorado $26.39 to $67.31

Columbus $24.42 to $62.31

Connecticut $26.39 to $67.31

District of Columbia $28.08 to $71.63

Illinois $24.42 to $67.31

Maine $22.45 to $57.31

Maryland $26.39 to $67.31

Massachusetts $26.39 to $71.63

Minnesota $26.39 to $67.31

New York $24.42 to $77.88

New Jersey $28.08 to $77.88

Virginia $24.42 to $71.63

Washington $28.08 to $71.63

LI-MP

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