Machine Learning Software Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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:

• Support data science teams better automate workflows
• Develop software to interface with machine learning models and business applications
• Support machine learning monitoring and maintenance solutions
• Provide coaching and mentoring to others within the technical discipline
• Be recognized as a technical advisor in the solution of complex problems; develop creative functionality and provide solutions to complex problems by identifying and organizing necessary resources

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.

What Skills You Need

• Proven experience in the design, development, testing and integration of high complex software solutions in Java web development with Sprint and Restful APIs leveraging change management (5+ years across multiple of these)
• Understanding of applications development environment, database, data management and infrastructure capabilities and constraints (5+ years)
• Proven experience in an Agile/Scrum team environment (4+ years) 
• Proven deep experience leveraging DevSecOps and lean development principles such as Continuous Integration and Continuous Delivery (4+ years)
• Deep experience in cloud development with platforms like AWS or Azure (4+ years)
• Working understanding of full-stack design patterns and designing loosely coupled architectures (4+ years)

What Makes You Stand Out

• Capable of collaborating with multiple business stakeholders to provide information technology solutions
• Skilled in interpersonal communications, negotiation, and conflict resolution
• Proven experience as a work lead providing technical coaching and mentoring to others
• Proven strong leadership skill and experience, influence effectively, ability to resolve impediments in a timely manner
• Learning Agility / Innovative - desire and openness for continuous technical learning and identifying areas for application
• Growth mindset - willingness to deal and thrive in uncertainty

Education (or equivalent work experience)

• Bachelor's degree in IT, Computer Science or Engineering