AI/ML Computational Scientist, CL10/9

ManpowerGroup Talent Solutions

. Formulate real-world problems into practical, efficient, and scalable AI and machine learning solutions .

Posted 10/15/2026full-timeRemote • Wisconsin • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing scalable AI and machine learning solutions, with a strong focus on data pipeline design, model deployment, and collaboration with cross-functional teams. Proficient in leveraging deep learning and generative AI models to address complex business challenges while ensuring efficient data management and retrieval.

Highest-signal resume keywords

Machine Learning EngineeringAI/ML Model DeploymentData Pipeline DesignPython ProgrammingDistributed Computing Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsDeep Learning ModelsData Preprocessing TechniquesHigh-Performance ComputingCloud ComputingTensorFlowPyTorchC++JavaSQL

Soft Skills

Strong Communication SkillsClient-Facing SkillsCross-Functional CollaborationEntrepreneurial MindsetCuriosity for Emerging Technology

Certifications & Qualifications

Bachelor's DegreeMS or PhD in Computer Science or Engineering

Industry Keywords

AI SolutionsMachine LearningData PipelinesBig DataEngineering SimulationsScientific ComputingGrid ComputingCloud EnvironmentModel MonitoringBusiness Use Cases

Tech Stack

Tools & technologies

CloudJavaPythonPyTorchSQLTensorflowC++

About the role

Key responsibilities & impact

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 and MLOps
Customize and apply deep learning and generative AI models for business use cases based on business needs, data availability, system and infrastructure requirements, including edge devices and HPC
Engage in research and development of new AI and high-performance computing algorithms, models, and simulations and apply them to complex business problems at client sites
Work with large-scale datasets and apply data preprocessing techniques for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge
Justify the value of model approaches for business problems
Collaborate with business and technical teams, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate solutions into production

Requirements

What you’ll need

Bachelor's Degree or equivalent
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 applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
Minimum of 1 year of experience in distributed computing systems and architecture, including areas such as big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, and distributed networks
Minimum of 1 year of experience building and deploying AI/ML-based software to a cloud environment
Preferred: Proficiency in Python and Python-based AI/ML frameworks and familiarity with relevant libraries and frameworks such as TensorFlow and PyTorch
Preferred: Experience working with language models such as LLM APIs and optimizing their usage for specific applications
Preferred: Experience with Python, C++, Java, R, and SQL
Preferred: Strong written and verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Preferred: Strong client-facing skillsets in a consulting environment
Preferred: Strong cross-functional collaboration skills with internal and client-side teams
Preferred: Entrepreneurial mindset with curiosity and passion for emerging technology and driving innovation
Preferred: MS or PhD in a related field, such as computer science or engineering

Benefits

Comp & perks

Full-time employment