AI/ML Computational Science Specialist

Accenture

Remote

Quick summary

Work type: Remote
Location: Mountain View, CAMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary: $70,350–$205,800 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k

This role $138k

$48k most similar roles pay here $282k

This role pays less than 93% of similar roles. Most pay $172,250–$246,150 — the shaded band above. At the midpoint, this role pays about $138k versus about $209k 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 126 open roles on FindRole.

Listed pay typically runs $94,400–$220,400 across 85 roles with salary data.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · AI/ML Computational Science Specialist

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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 industries with cutting-edge solutions. Your role involves collaborating with cross-functional teams to engineer innovative AI solutions for complex business problems, from system roll-outs to maintenance of existing applications. You will develop machine learning models and deploy them into production environments, ensuring scalability and reliability while integrating seamlessly with legacy systems. Additionally, you will design multi-agent architectures to optimize client workflows. The ideal candidate has at least 3 years of experience in data analysis, statistics, or computer science, with a focus on machine learning and deep learning. Proficiency in cloud-based AI services such as speech-to-text, text-to-speech, and chatbot technologies is highly valued.

Skills

Python Java C# TensorFlow Keras PyTorch Azure AWS Google Cloud Platform Docker Kubernetes CI/CD PostgreSQL MongoDB NLP Speech-to-Text Text-to-Speech Chatbots

What you'll do

Design and build AI solutions using machine learning models for unique use cases.
Deploy trained AI models into production environments ensuring scalability and reliability.
Develop system specifications and test plans for project management.
Extract valuable insights from complex datasets using advanced AI techniques.
Implement agents and multi-agent architectures to optimize client workflows.

What we're looking for

At least 3 years of experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
Minimum 2 years of hands-on experience with machine learning and deep learning techniques.
Demonstrated proficiency in Natural Language Processing (NLP) technologies.
Experience building Conversational AI applications using cloud-based services.
Expertise in deploying trained models into production environments for optimal performance.
Proficiency in designing and implementing agents and multi-agent architectures.

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