AI Scientist

KION Group

Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$98,800–$123,500 / yr
Posted
6 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $111k
$81k most similar roles pay here $264k

This role pays less than 99% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $111k versus about $204k for comparable roles.

Based on 239 similar postings.

Employer

About KION Group

KION Group is a leading global provider of industrial trucks, related services, and supply chain solutions, operating brands such as Linde Material Handling, STILL, and Dematic. Industry: Industrial Equipment & Supply Chain Solutions

KION Group currently has 6 open roles on FindRole.

Listed pay typically runs $100,500–$147,400 across 5 roles with salary data.

Most-posted roles

View all roles at KION Group

At a glance

TL;DR · AI Scientist

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As an AI Scientist joining Dematic’s Data Platform and AI team, you will collaborate with business stakeholders, product managers, and engineers to design and deploy intelligent solutions for intralogistics planning and operations. Your daily tasks include translating complex operational challenges into data-driven products, developing proof-of-concept prototypes, and deploying minimum viable products while continuously improving them. You will work with real-world datasets to build forecasting models and apply AI techniques such as machine learning and optimization to solve problems like resource allocation and automation strategies. Key skills required are proficiency in ML frameworks like PyTorch or TensorFlow, software engineering practices including version control, and the ability to communicate technical concepts effectively. Experience with cloud platforms and reinforcement learning is a plus, especially for those interested in applied AI within supply chain logistics.

Skills

Python PyTorch TensorFlow scikit-learn Azure GCP Version_control Testing Code_quality_practices Statistics MLOps Clean_code Simulation_tools Model_centric_architecture Inference_services Reinforcement_learning Large_language_models(LLMs) Supply_chain_optimization Operations_research

What you'll do

  • Translate business problems in intralogistics into quantitative problem statements.
  • Develop and train models using real-world and synthetic datasets.
  • Design forecasting, machine learning, and optimization models for intralogistics.
  • Apply AI techniques to planning, scheduling, resource allocation, and automation.
  • Build simulation tools for model training, validation, and testing of processes.
  • Write clean code following software engineering best practices.
  • Develop model-centric solution architectures integrating ML models and data pipelines.

What we're looking for

  • 4+ years of experience with ML frameworks and toolchains like PyTorch, TensorFlow.
  • Strong foundation in statistics and machine learning algorithms required.
  • Proficiency in Python or another AI/ML programming language needed.
  • Bachelor's degree plus 3 years or Master’s degree plus 2 years relevant experience.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Familiarity with software engineering fundamentals including version control and testing practices.

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