AI/ML Computational Scientist, CL10/9

Job not on LinkedIn

🔥 1 minute ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ManpowerGroup Talent Solutions

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1948

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

ManpowerGroup Talent Solutions is a global talent and workforce solutions business that combines Recruitment Process Outsourcing (RPO), Managed Service Provider (MSP) capabilities (TAPFIN), and career and talent development services (Right Management) to deliver end-to-end, data-driven workforce planning, attraction, acquisition, upskilling and retention solutions. Leveraging industry expertise, technology and workforce insights at scale, it partners with organizations to address complex, large-scale hiring and talent management needs across multiple countries.

📋 Description

• 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

• 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

• Full-time employment