Posted in General Business 30+ days ago.
Type: Full-Time
There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before!Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
Primary Location: Vereinigte Staaten (US)- Illinois - Moline
Function: Information Technology
Title: Machine Learning Software Engineer- 72701
Your Responsibilities
This position is currently eligible for a telework and/or compressed workweek arrangement at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.
As a Machine Learning Software Engineer , for the John Deere Enterprise you will work on a product team to help drive and scale capabilities associated with integrating machine learning into business and manufacturing processes. In this position you will be providing leading product design by providing technical leadership; in addition to planning, coordinating, coding and testing - to deliver functionality of a complicated nature on the complete product or products it supports. You will be collaborating on developing cutting edge utilities and software products within a team of like-minded software engineers, data engineers and data scientists that will be used to:
Expect to work with the latest Python packages, distributed computing frameworks, machine learning packages, relational and non-relational database management systems, cloud infrastructure, and all within Continuous Delivery and Agile Development process.
The ideal candidate will have experience programming in Python and developing scalable solution in AWS. Candidate will be proficient in developing reusable Python packages, knowledgeable of software design patterns and scalable data structures, able to evaluate database design and author performance queries for data processing needs, able to breakdown complex software tasks into manageable user and technical stories, ensure quality test coverage, review peer code and provide recommendations, and keep up to speed on the latest scientific programming and machine learning open source trends including MLOps. Expect also to work with with AWS machine learning (Sagemaker) and supporting services like Lambda, IoT and GreenGrass services as well as API Gateway and cloud formation (CDK).
The ideal candidate has a BS or MS in a Software Engineering, Computer Science, or related field of study. Work experience should consist of a proven track record of efficiently designing, developing, and releasing machine learning software product both independently and collaboratively over a 5+ year period.
Visa sponsorship is NOT available for this position.
Proven Technical Skills and Experiences
Interpersonal, Leadership and Teaming Competencies
Education (or equivalent work experience)
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. We offer comprehensive relocation and reward packages to help you get started on your new career path. Click hereto find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
Job Segment: Developer, Manufacturing Engineer, Engineer, Software Engineer, Computer Science, Technology, Engineering
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