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  • Location

    Atlanta, Georgia

  • Job title:

    Artificial Intelligence (AI) Engineer

  • Sector:

    Technology

  • Job type:

    Direct Hire

  • Job ref:

    6008

AI Engineer

 

Overview

Modern, high-performant warehousing and logistics systems play an increasingly critical role in the competitiveness of businesses and the effectiveness of the general world economy.

 

Intralogistics solutions combine state-of-the-art Mechatronics, Robotics, Computational Perception, Computational Mathematics, Control, Artificial Intelligence, and Operations Research foundations, algorithms, and technologies, to deliver effective high-throughput processing for many mission-critical commercial logistics applications.

 

The Center of Excellence for Artificial Intelligence and Intelligent Algorithms (CoE AI) at KION Group AG combines advances in Analytics, Artificial Intelligence, Machine Learning, IoT, Perception, Operations Research, and Cloud and Edge Computing domains to deliver breakthrough end-to-end solutions for supply chain and intralogistics ecosystems.

 

Requirements

  • MS or PhD in Machine Learning, Mathematics, Statistics, Analytics, Physics, Electrical Engineering, or related field.

  • Background in Finite Dimensional Functional Analysis, Probability Theory, Statistics, Discrete Mathematics, Discrete Optimization, and Algorithms.

  • Proven knowledge of Relational Database Management Systems (RDBMS), and NoSQL databases.

 

We’d love to see

  • Proven knowledge of High-Performance Computing (HPC), parallelism, multiprocessing, and multithreading.

  • Ability to effectively communicate with technical audiences of various seniority levels.

  • Natural inclination for and/or record of Software Engineering best-practices—test-driven development, software patterns, conventions, code reviews, preferred coding styles, and delivery standards.

  • Fluency in C/C++ and Python, in conjunction with widely used AI/ML SDKs.

  • 3+ years of experience in developing AI/ML and Analytics solutions under Agile methodologies and Continuous Integration/Delivery (CI/D).

  • 3+ years of experience applying Random Forests, Convolutional Neural Networks (CNNs), and Sequence Models to a diverse set of commercial applications including, but not limited to, Classification, Sensor Fusion, Navigation, Autonomous Control Systems, and Natural Language Processing (NLP).

  • 3+ years of experience with asset control and documentation—Git, Azure DevOps, Confluence.

  • 1+ years of experience in CUDA, TensorFlow, and Keras—or similar.

  • At least 1 year of experience designing and developing commercial model-centric AI solutions, using technologies offered by major cloud providers such as Microsoft Azure and Amazon AWS.

  • Experience identifying and working with applicable key open-source SDKs, frameworks, and tools—Spark, Storm, Kafka, PySpark, etc.An understanding of industry and technology trends in Supply Chain.

  • Ability to effectively communicate with non-technical stakeholder audiences.

  • Experience with Azure IoT Hub.

  • Proficiency in cuDNN, cuBLAS, cuSOLVER, nvGRAPH, TensorRT, DeepStream SDK, and related NVIDIA technologies.

  • Proficiency in Java, C#, SQL, and LaTeX.

  • Ability to accommodate some domestic and international travel.

 

Responsibilities 

  • Develop commercial AI and Analytics (Descriptive, Prescriptive, and Predictive) solutions in Cloud-based As-a-Service delivery model.

  • Participate in the definition and development of full-scale AI and Analytics projects with quick market introduction goals using agile methodologies.

  • Apply state-of-the-art AI and Machine Learning principles and technologies to solve and/or improve complex planning, search, classification, recommendation, prediction, and optimization problems arising from the need to measurably streamline supply chain management operations, sometimes involving synthesis/repurposing of existing solutions currently in production.

  • Develop novel, model-based POCs leveraging advances in GPU, Sensor Fusion, Edge, and Cloud AI technology, targeting demonstrable increases in reliability and adaptive control of highly automated intralogistics and warehouse systems.

 

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Our Company is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of sex, gender, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by federal, state, or local laws. The Company is dedicated to the fulfillment of this policy in regard to all aspects of employment, including but not limited to recruiting, hiring, placement, transfer, training, promotion, rates of pay, and other compensation, termination, and all other terms, conditions, and privileges of employment.