تفاصيل الوظيفة
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 LLM (Gen AI) / ML algorithms/libraries, distributed model serving and robust monitoring and analytics of ML models. As a Machine Learning Engineer 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, Spark, Horovod, Tensorflow, PyTorch 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
- 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 to 7 years of professional work experience
- DevOps Experience/Familiarity: Containerization (Dockerizing python), Linux/UNIX Shell, package management/Conda etc
- B. Tech / B. E., M.S. in Computer Science / AI ML or software relevant field 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)
- Strong verbal and written communication skills
- Cloud Experience with AWS, GCP, Azure etc. highly desirable
- Experience with distributed ML frameworks such as Tensorflow and Pytorch is highly desirable
- SQL experience highly desirable
- Java development experience is also a significant plus
- 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, Spark, Horovod, Tensorflow, 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, deep learning and Gen AI (LLM) 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
- 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
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