Software Developer 4 - NetSuite AI / ML

Oracle; Kitchener; On-site; CAD 76,000 - 168,000; Full time

Job summary

Oracle's ML Operations team is hiring a dedicated ML Ops Developer to create and optimize ML infrastructure. You'll work with data scientists to improve ML workflows and ensure system effectiveness, while leveraging your Python and cloud expertise in a collaborative environment.

Benefits

Medical, dental, and vision insurance

401(k) Savings and Investment Plan

Flexible Vacation

Paid sick leave

Paid parental leave

Qualifications

• Experience with ML Ops, DevOps, or Data Engineering.
• Good understanding of cloud technologies: OCI, AWS, Google Cloud, Azure.
• Experience with CI/CD tools: TeamCity, GitLab CI, CircleCI.

Responsibilities

• Develop and maintain tools and APIs for Machine Learning Pipelines.
• Automate workflows from data extraction to model deployment.
• Collaborate with Data Scientists to transform prototypes into production-ready models.

Skills

Python

Java

Scala

Problem Solving

Cloud Technologies

Communication

Education

Bachelor's or Master's degree in Computer Science

Related field

Tools

Docker

TensorFlow

PyTorch

MLflow

Kubernetes

Job description

About Oracle NetSuite

Our goal is to transform how businesses operate. We help businesses achieve their vision, no matter the size or industry. We’re the #1 cloud business software, supporting more than 40,000 organizations, in more than 100 countries. Find out more about Oracle NetSuite atwww.netsuite.com.

Overview

The ML Operations team at Oracle-NetSuite is growing and we are looking for a strong, agile ML Ops Developer to help us invent the future. This team fills the role of a Data Engineering team but aims to provide ML tools as a service to downstream consumers. As part of our team, you will help design and develop infrastructure services to assist internal customers with their machine learning initiatives. Participating in design discussions with the team and contributing your ideas will give you a chance to help shape the future of our platform, while also ensuring end-to-end security and compliance concerns are met. You'll also be expected to help maintain and improve code quality by providing meaningful contributions to code reviews.If you are passionate about data, automation, and complex problem-solving, then we want to hear from you.

Career Level - IC4

QualificationsDisclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

CA: Hiring Range in CAD from: $76,700 to $167,600 per annum.
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

Responsibilities

Responsibilities

As an ML Ops Developer, you will play a pivotal role in building the foundation for Machine Learning at Oracle NetSuite. Key responsibilities include:

Developing and maintaining tools and APIs that help orchestrate our Machine Learning Pipelines and infrastructure: Create, scale, and optimize our ML infrastructure to enable the seamless deployment and scalability of our AI models.

Automating Machine Learning workflows, data ETL, model deployments, and monitoring: Implement robust automation solutions for the ML workflow, from data extraction and transformation (ETL) to model deployment and monitoring.

Collaboration with Data Scientists: Collaborate closely with data scientists to understand their needs, develop tools, platforms, and environments that streamline their workflow, and assist in transforming their prototypes into production-ready models.

Troubleshooting and debugging: Provide expert troubleshooting and debugging support, address issues in the infrastructure and workflow, and create robust solutions to prevent future problems.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proficiency in programming languages such as Python, Java, or Scala.

Proven experience in ML Ops, DevOps, Data Engineering, or a similar role.

Good understanding of cloud technologies (E.g., OCI, AWS, Google Cloud, Azure) and containerization tools (E.g., Docker).

Excellent problem-solving skills and the ability to troubleshoot complex ML infrastructure issues.

Strong communication skills, with the ability to work collaboratively in a team environment.

Nice to Have

Strong experience with ML infrastructure and technologies (E.g., TensorFlow, PyTorch, Keras).

Familiarity with ML lifecycle management tools (E.g., MLflow, Kubeflow, Kubernetes).

Experience with CI/CD tools (E.g., TeamCity, GitLab CI, CircleCI) and working with data ETL.