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Associate Machine Learning Engineer

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Brambles Group

Aug 23

  • Job
    Full-time
    Junior & Mid Level
  • Data
    Software Engineering
  • Madrid
  • Quick Apply

AI generated summary

  • You need coding skills in Python, SQL, and ML tools, experience in Data Science deployment, cloud tech familiarity, strong communication, and a STEM degree with 1-3 years in relevant roles.
  • You will design, deploy, and monitor ML solutions, manage CI/CD processes, engage with stakeholders, advocate for MLOps, evaluate new tools, and collaborate in an agile team environment.

Requirements

  • - 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.
  • - 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.
  • - 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.
  • - 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.
  • - Excellent communication skills.
  • - Strong desire to continuously learn and develop technical skills.
  • - Proficiency with cloud computing environments.
  • - Research and new algorithm development experience.
  • - Bachelors - Computer and Information Science.
  • - 1 - 3 years.
  • - Hybrid Remote.

Responsibilities

  • 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.

FAQs

Do we support remote work?

Yes, we do remote work in a hybrid format.

What is the role of an Associate Machine Learning Engineer?

The Associate Machine Learning Engineer will be developing tools and technologies that leverage data from various sources to increase supply chain efficiencies and provide value to our customers.

What are the key accountabilities of this position?

Key accountabilities include managing the design, deployment, implementation, and monitoring of Data Science and Machine Learning solutions, engaging with customers, advocating for MLOps best practices, and working as part of a cross-functional agile team.

What experience is essential for this role?

Essential experience includes working autonomously, understanding coding principles, experience with Data Science tools, a basic understanding of cloud technologies, and effective communication skills.

What qualifications are required for this position?

A degree in Computer Science, Physical Sciences, Data Science, Engineering Mathematics (STEM), or equivalent formal training plus relevant work experience is required.

Are there any desirable qualifications for this role?

Yes, desirable qualifications include a Master’s or PhD degree, relevant certifications, and 2+ years of experience as a Software Engineer, Data Scientist, or similar.

What skills are important for this job?

Important skills include excellent communication abilities, a strong desire to continuously learn, proficiency with cloud computing environments, and experience in research and new algorithm development.

What tools and technologies should candidates be familiar with?

Candidates should ideally have experience with Python, SQL, Pyspark, MLFlow, Databricks, AWS, shell/bash, and Pytorch/Tensorflow.

What is the company culture like at CHEP?

CHEP fosters an inclusive workplace where employees are empowered to bring their authentic selves to work and are surrounded by diverse and driven professionals.

How does CHEP support employee development?

CHEP supports continuous learning and development, allowing employees to maximize their work-life balance and professional growth.

What is the expected level of work experience for this position?

The preferred level of work experience is between 1 to 3 years.

Does CHEP promote diversity and inclusion in the workplace?

Yes, CHEP is committed to developing a diverse workforce and treating every employee and applicant fairly and with respect.

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Brambles Group

Transportation
Industry
10,001+
Employees
1875
Founded Year

Mission & Purpose

Brambles is a global supply chain solutions company specialising in pallet and container pooling services through its CHEP and IFCO brands. The company works across various sectors, including fast-moving consumer goods, fresh produce, retail, and manufacturing, providing efficient and sustainable logistics solutions. Brambles' ultimate mission is to connect people with life's essentials through a smarter, more sustainable supply chain. Their purpose is to reduce waste and inefficiencies in global supply chains by promoting circular economy practices, helping to protect the environment and ensure long-term resource sustainability