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Job Details

Machine Learning Engineer

Company name
Deloitte Development, LLC

Location
Gilbert, AZ, United States

Employment Type
Full-Time

Industry
It, Engineering

Posted on
Mar 05, 2021

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Job Information

Deloitte

Machine Learning Engineer

in

Gilbert

Arizona

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 fieldOR 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

How you’ll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. (https://zoomforth.com/s/deloitte/du#home)

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.Learn more about what working at Deloitte can mean for you. (http://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html)

Deloitte’s culture

Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. (http://www2.deloitte.com/us/en/careers/life-at-deloitte.html?icid=top_life-at-deloitte)

Corporate citizenship

Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. (http://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-corporate-citizenship.html)

Recruiter tips

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to.Check out recruiting tips from Deloitte professionals. (http://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html)

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Category: Information Technology

About Deloitte

As used in this document, Deloitte means Deloitte LLP and its subsidiaries. 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.

Company info

Deloitte Development, LLC
Website : http://www.deloitte.com

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