AI/ML Computational Science Engineer

Accenture; City of Albany (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and ML solutions for enterprise clients, blending custom models with cloud and third‑party AI services to deliver production‑ready outcomes.

The role spans the full solution lifecycle—assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and LLMs), and designing scalable data and DevOps/MLOps pipelines for training and production, ensuring quality and

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• Minimum of 3 years of experience deploying ML models in production at scale.
• Minimum of 3 years of experience in computer science foundations and system design.
• Minimum of 1 year in distributed computing systems and cloud deployment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models and scalable data pipelines with DevOps/MLOps.
• Customize Deep Learning and Gen AI models for business needs.
• Engage in R&D of new AI/HPC algorithms and simulations for clients.
• Handle large datasets with data preprocessing for training/production.
• Justify model approaches and collaborate with cross-functional teams.

Skills

ML engineering

Distributed computing

Python

Cloud deployment

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

TensorFlow

PyTorch

LLM APIs

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.

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