AI/ML Computational Science Manager

Accenture

Hybrid

Quick summary

Work type: Hybrid
Location: Mountain View, CA · Milwaukee, WI · Dallas, TX · Columbus, OH · Kirkland, WA
Salary: $94,400–$293,800 / yr
Posted: 67 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k

This role $194k

$70k most similar roles pay here $318k

This role pays less than 68% of similar roles. Most pay $174,800–$247,312 — the shaded band above. At the midpoint, this role pays about $194k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI/ML Computational Science Manager

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As an Artificial Intelligence and Machine Learning Computational Science professional at Accenture’s Data & AI organization, you will join a team of over 45,000 professionals dedicated to reshaping work and society through cutting-edge technology. Your role involves collaborating with cross-functional teams to engineer innovative solutions for new system roll-outs and enhancements, leveraging your expertise in machine learning, deep learning, and data analysis to solve complex problems. You will design and build scalable AI services using advanced techniques, deploy trained models into production environments, and integrate them seamlessly with existing systems. Key responsibilities include developing system specifications, creating test plans, and managing project issues while utilizing cloud-based cognitive services for Conversational AI applications. The ideal candidate has at least 6 years of experience in Data Analysis, Statistics, Machine Learning, or Computer Science, along with extensive knowledge in machine learning, deep learning, NLP, and agentic architectures. Experience with building out AI infrastructure and optimizing performance is a significant plus.

Skills

Python Java C# TensorFlow Keras PyTorch Azure AWS Google Cloud Platform Docker Kubernetes CI/CD PostgreSQL MongoDB NLP Agentic Architectures Conversational AI AI Infrastructure Scalability

What you'll do

Design and build solutions using AI services and machine learning models for unique use cases.
Utilize advanced AI techniques to extract insights from complex datasets and solve intricate problems.
Deploy trained machine learning models into production environments ensuring scalability and reliability.
Develop system specifications, create test plans, and manage project issues for assigned work scope.
Design and implement agents and multi-agent architectures to optimize client workflows.

What we're looking for

At least 6 years of experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
Minimum 5 years of hands-on experience with machine learning and deep learning techniques.
Proven expertise in designing and deploying AI/ML solutions using cloud services.
Experience in building conversational AI applications and orchestrating AI/ML services.
At least 1 year of experience in designing and implementing agentic architectures.

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