Position Summary

Machine Learning Engineer

Work you’ll do

The Machine learning engineer will be part of the machine learning team and will have three main tasks. The first task consists of providing support for the machine learning by setting up the infrastructure, creating data bases and setting up pipelines for data ingestion, manipulation and consumption. The data engineer will work in close collaboration with machine learning experts, so a good understanding of the modeling life-cycle is considered a plus. The second task will consist of helping to create more robust and performant code and setup a stable production pipeline for the machine learning models. The third main responsibility will be to deploy and monitor the deployed solutions. He or she will assist and guide more junior resources and act as a sounding board. It is important that the person in this role is proactive and independent and able to articulate to a technical and non-technical audience.

The team

The machine learning group sits in the Deloitte Platform (DP) practice, part of Deloitte Consulting LLP, which supports the firm on a technical level to offer a variety of mixed services to provide the clients’ needs. The machine learning team specifically focusses on creating products and solutions that require deeper analytical and problem-solving skills to create tangible results. This is a continuous cycle where we strive to keep innovating and provide state-of-the-art assets.

Qualifications

Required:

  • Masters and two years of experience in Computer Science, Software engineering or related field
    OR Bachelors of Computer Science and six or more years of related work experience
  • Expert knowledge of Python and UNIX systems
  • Working experience with deploying ML models
  • Working experience with MLops
  • Working experience with containers like Docker or Kubernetes
  • Working experience with AWS instances (EC2, S3 buckets)
  • Knowledge of Apache Spark is considered a plus
  • Working experience with GCP or Azure is a plus.
  • Affinity with overall machine learning process is a plus.
  • Knowledge of UNIX, experience with Google and Amazon Machine Learning and Cloud tools is a plus

 

Preferred:

  • Knowledge of Apache Spark is considered a plus
  • Working experience with GCP or Azure is a plus.
  • Affinity with overall machine learning process is a plus.
  • Knowledge of UNIX, experience with Google and Amazon Machine Learning and Cloud tools is a plus
  • Goal oriented with high standards for quality and performance
  • Ability to manage multiple projects simultaneously
  • Excellent verbal and written communication skills

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Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Learn more about our commitment to developing our people.


As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 17998

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