Senior Software Developer : Data Science-20000IE6
Applicants are required to read, write, and speak the following languages: English
Principal Member of Technical Staff
The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges.
We offer unique opportunities for smart,
hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications.
This role is available on the OCI Data Science service. We are addressing exciting challenges at the intersection of data science and cutting-edge infrastructure. We are building a cloud service for data scientists, machine learning engineers and software engineers to help them every step of the way in their machine learning development and deployment lifecycle. Our product vision includes interactive notebooks, distributed machine learning on CPU/GPU supporting wide variety of ML algorithms/libraries, distributed model serving and robust monitoring and analytics of ML models.
As a Machine Learning Developer - Accelerated Data Science on the Oracle Cloud Infrastructure Data Science team, you will have a hand in the design and delivery of a high-quality cloud service with the capabilities, scalability and performance needed to match the needs of enterprise data science teams and enterprise application development teams. You will need experience with designing and developing software for machine learning solutions - solving real-world business problems.
What You'll Do
Build accelerated data science components and machine learning solutions for a cloud service on top of the modern Infrastructure as a Service (IaaS) building blocks at OCI
Design and build distributed, scalable, fault tolerant software systems using Dask and Spark etc.
Participate in the entire software lifecycle – development, testing, CI and production operations
Develop new features for the data science platform in a variety of classical and deep learning frameworks
Work with customers and ISVs to troubleshoot data science solutions in data wrangling, data access, training models and putting them into production
Design, Develop and Document robust software components that fit the Accelerated Data Science SDK
Mentor new employees and work with less experienced software developers to increase quality of projects performed by junior engineers
Participate in on-call for the service with the team
4+ years of professional work experience
DevOps Experience/Familiarity: Containerization (Dockerizing python), Linux/UNIX Shell, package management/Conda etc
B.S., M.S. in Computer Science, Electrical Engineering, or software relevant field, CS, EE etc
Understanding of machine learning
Demonstrated programming abilities in Python (intermediate++)
Experience with software coding practices (unit tests, mock, logging, debugging, git, code review, etc)
Meets/exceeds Oracle's functional/technical depth and complexity for this role
Strong verbal and written communication skills
Cloud Experience with AWS, GCP, Azure, Heroku etc. highly desirable
SQL experience highly desirable
Detailed Description and Job Requirements
Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.
As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.
Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.