Associate Machine Learning Engineer

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. 

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. 

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals, and you can maximize your work-life balance and flexibility through our Hybrid Work Model.

As an Associate Machine Learning Engineer, you will be developing tools and technologies that leverage data from a variety of sources to increase supply chain efficiencies and provide value to our customers.

Key Accountabilities:

• Managing the effective design, deployment, implementation and monitoring of complex Data Science, Machine Learning and Software solutions as part of a team.
• Implementation and management of CI/CD, automation, testing, data validation and drift detection within a cloud environment and utilizing Databricks.
• Engage with both internal and external customers, understanding business requirements and communicating complex concepts with clarity and simplicity
•  Effectively advocate for embedding of MLOps best practices.
•  Learning and evaluation of new tools and technologies and exploring their viability on current projects.
• ·Work as part of a cross functional agile team, engaging in planning, execution and communication of work.
• Contribute within the community of Machine Learning Engineers and Data Scientists within the Data Science Chapter.

Previous Experience:

Essential

• Have worked autonomously and delivered results on schedule.
• Understanding of coding principles and concepts:
• Object Oriented Design.
• Unit Testing.
• Experience with or study of a broad range of Data Science tools, technologies and packages.
• Basic understanding of cloud technologies and some experience with them.
•  Researched and developed complex technology to solve a problem in a commercial or academic context.
• Demonstrated capacity for growth and development.
• Data Storytelling and effective communication.

 Desirable

• History of delivery of high-quality production Software/Machine Learning solutions.

  Proactively embedding ML Ops and Software Development best practices in cross functional teams.

  Supply Chain Domain Knowledge.

• Ideal Tooling Experience
  Python, SQL, Pyspark, MLFlow, Databricks, AWS, shell/bash, Pytorch/Tensorflow

Qualifications

Essential Qualifications

• Degree in Computer Science, Physical Sciences, Data Science, Engineering Mathematics (STEM) and/or equivalent formal training plus work experience.
• Experience relevant to the building, deployment and monitoring of Data Science Software and Machine Learning systems.

Desirable Qualifications

• Master’s or PhD level degree.
• Qualifications/Certifications relevant to the building, deploying and monitoring of Data Science Software & Machine Learning systems.
• 2+ years of work experience as a Software Engineer, Data Scientist or similar.
• Experience in managing deployments of Data Science and Machine Learning solutions at scale.

Skills

• Excellent communication skills.
• Strong desire to continuously learn and develop technical skills.
• Proficiency with cloud computing environments.
• Research and new algorithm development experience.

As an inclusive employer, Brambles wants to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore encourage you to inform your Talent Acquisition Partner of any reasonable adjustments you might need to enable this to happen.

Preferred Education

Bachelors - Computer and Information Science

Preferred Level of Work Experience

1 - 3 years

Remote Type

Hybrid Remote

We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment@brambles.com.