Job Description

Job Purpose and Impact

The Machine Learning Engineer will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models that help deliver significant value to the organization's businesses and functions.

Key Accountabilities

• Continuously seek out best practices and develop skills.
• Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver projects on time and within budgets.
• Translate ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Take ownership for the entire data science workflow that includes a well defined project scope, exploratory data analysis, model development, deployment and monitoring.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Other duties as assigned

• Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience,
• Confirmed ability to present to non technical audiences
• Strong python programming skills
• Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
• Minimum of two years of related work experience
• Other minimum qualifications may apply

• Master's degree or PhD in data science, computer science, math, engineering or related field
• Strong data visualization skills
• Strong SQL skills
• Experience working with continuous integration and delivery (CI/CD) pipelines
• Experience working with Hadoop and other distributed computing frameworks
• Experience working with AWS
• Experience in software development environment and code management or versioning
• Experience in agriculture