Job description

Global Business Services

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This is Lyondellbasell


LyondellBasell (NYSE: LYB) is one of the largest plastics, chemicals and refining companies in the world. Driven by its employees around the globe, LyondellBasell produces materials and products that are key to advancing solutions to modern challenges like enhancing food safety through lightweight and flexible packaging, protecting the purity of water supplies through stronger and more versatile pipes, improving the safety, comfort and fuel efficiency of many of the cars and trucks on the road, and ensuring the safe and effective functionality in electronics and appliances. LyondellBasell sells products into more than 100 countries and is the world's largest producer of polypropylene compounds and the largest licensor of polyolefin technologies. In 2022, LyondellBasell was named to Fortune Magazine's list of the World's Most Admired Companies for the fifth consecutive year.

This is the role


LyondellBasell has embarked upon a strategic digital transformation journey, to provide value focused and scalable digital and advanced analytics solutions across LyondellBasell’s enterprise. Through working closely with Data Scientists, Data Engineers, and IT, the Machine Learning (ML) Engineer will have the opportunity to provide significant tangible business value through developing and deploying scalable Machine Learning pipelines and capabilities on high value problems. This requires a team of innovative, energetic, productive, software development minded, and humble individuals who demonstrate LyondellBasell’s core values in the application of Machine Learning pipelines and workflows on each project. At LyondellBasell, we work a flexible hybrid schedule, which includes remote work-from-home days and in-person team collaboration days.

These are your roles & responsibilities


  • Place emphasis on delivering value through training and operationalizing state-of-the-art large-scale Machine Learning (ML) models, through excellent problem solving, development, and implementation of scalable solutions
  • Work collaboratively with Data Scientists to establish best practices for prototyping, tuning, training, versioning, acceptance/promotion, and continuous integration of ML models, and capturing ML model metrics
  • Work with data engineers and dev ops to develop an approach for testing the code of our ML models, and develop specific tests for ML model code
  • Work on determining the right infrastructure to use for large-scale distributed model tuning and training
  • Create automated and reproducible model workflows/pipelines, continuously evaluate, and maintain the code base with the latest package and framework developments and standards within the ML ecosystem, including Tensorflow, PyTorch, C3, etc.
  • Work across our portfolio of projects to ensure that ML models are updated periodically, tests for ML models are refreshed, training data is refreshed, models are re-tuned, re-trained, and appropriately versioned, and the model performance is validated
  • When time permits, experiment with ML models to try to improve performance

This is what you bring


  • MS (PhD preferred) in Computer Science, Software Engineering, Computer Engineering, or related technical field
  • Hands on technical experience in software development and/or developing and implementing ML workflows, pipelines, and applications
  • Demonstrated ability to drive a project, and work both independently and in a team
  • High level of enthusiasm and a love of data, software development, and ML engineering
  • Strong quantitative and problem-solving skills, including strong data, technical, and mathematical knowledge and skills
  • Strong Python, JavaScript, and/or SQL programming and scripting skills
  • Experience working with large structured and/or unstructured data and technologies
  • Experience with modern ML and Deep Learning frameworks such as TensorFlow, PyTorch, and Keras
  • Experience with modern ML and Data Science libraries such as Pandas, NumPy, Scikit-Learn, NLTK, Seaborn, Dplyr
  • Specialty skills in large scale computing, cluster computing, and/or cloud computing (Azure preferably)
  • Experience with Linux, Unix, Git, and software development testing frameworks

These are the preferred qualifications


  • PhD
  • 2+ years professional hands on technical experience in software development and/or developing and implementing Machine Learning workflows, pipelines, and applications
  • Strong programming and scripting skills in other languages, such as C#, C++, Java, Julia, or Scala
  • Experience with Jupyter Notebooks or VS Code
  • Experienced working with Data Scientists on architecting and delivering scalable, end to end advanced analytics solutions
  • Knowledge of ML techniques & algorithms, such as ANNs, SVM, GBM, Decision Forests, Clustering algorithms
  • Experience with GPU technology, NVIDIA data science development stacks, and CUDA programming
  • Experience with C3.ai is highly favorable, but is not expected

Competencies

Builds effective teams
Collaborates
Cultivates innovation
Customer focus
Demonstrates courage
Drives results
Ensures accountability
Instills trust and exemplifies integrity

This is what we offer


We offer an environment where we encourage personal and professional growth and where you will be rewarded for your performance and results. You will have the possibility to work with specialist on all fields to develop innovative solutions and to extend your national and international network. In addition, we offer you a competitive salary package. The Company's Global Remote Work Policy allows eligible employees the option to work up to two days a week from home. LyondellBasell is committed to advancing diversity, equity & inclusion (DEI) to ensure a positive experience for all employees.

Interested


Please feel free to contact Dennie Verberne at dennie.verberne @ lyondellbasell.com for more details. Would you like to apply? Just send us your motivation and resume via the application button. Only applications through this application button will be taken into consideration.



The recruitment process exists of an initial phone screening and business interviews before proceeding to a possible job offer a background check will be part of the process.



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