Cloud Engineer
11 hours ago
We are seeking a highly skilled Cloud Engineer to join our team as a Generative AI Specialist. This is an exciting opportunity to work on cutting-edge technologies and develop innovative solutions.
About the RoleAs a Cloud Engineer - Generative AI Specialist, you will be responsible for developing and deploying generative AI services and enterprise-specific services around generative AI. You will work with various machine learning libraries, including MLflow, Kubeflow, Optuna, Sigopt, and other techniques for model and data versioning.
You will also be responsible for designing, implementing, and deploying distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java). Additionally, you will have practical experience in Big Data technologies – Spark, Spark streaming, Hadoop, Object Storage (S3), Kafka.
We are looking for a talented individual with a strong drive to learn and master new technologies and techniques. You should have a deep understanding of data structures, algorithms, and excellent problem-solving skills.
Responsibilities- Develop and deploy generative AI services and enterprise-specific services around generative AI
- Design, implement, and deploy distributed systems using microservices architecture and APIs
- Work with various machine learning libraries, including MLflow, Kubeflow, Optuna, Sigopt, and other techniques for model and data versioning
- Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure
- Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, Heroku or similar technology
- Bachelor's or master's degree (preferred) in Computer Science, Computer Engineering, or related technical field
- 10+ years experience developing commercial software in a distributed environment
- Expert in at least one high-level language such as Java/C#/C++ (Java preferred)
- Expert in at least one scripting language such as Python, JavaScript, Shell (Python and JavaScript preferred)
- Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and API's
Please note that the salary range is based on national averages and may vary depending on location and other factors.
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