Job Title: GCP DevOps Engineer

Company Name: Datacorns LLC

Job Url: https://www.simplyhired.com/job/LN6w4gBrSQo9V1Q_xNJ4Zh1MKbMiCYjCVs4_ITbvC5MpZfbuxBQ6QQ

Job Description: GCP DevOps Engineer
Datacorns LLC
Remote

Job Details
Full-time
Up to $100,000 a year
Qualifications
Customer communication
Test Automation Development (Quality assurance practices)
Software design
Continuous Delivery (CD) implementation
Software coding
Infrastructure as Code (IaC)
IT system monitoring
Application deployment
Google Cloud Platform
Scalable systems
Java
Automating deployment processes
Machine learning
Model deployment
Implementing APIs
Scalability
Business requirements
Senior level
AI
Cross-functional collaboration
Communication skills
Technical Proficiency
Python
Cross-functional communication
Full Job Description
Title: GCP DevOps Engineer

Location : Remote

Duration : Long Term

We are seeking a highly skilled and innovative GCP DevOps Engineer with expertise in AI and Machine Learning. The ideal candidate will have a deep understanding of cloud-based services and a strong background in developing and maintaining infrastructure that interfaces with AI and ML models. This role requires a unique blend of technical proficiency, problem-solving skills, and the ability to work with abstract concepts and cutting-edge technologies.

Key:

GCP DevOps

interfaces with AI and ML

Must be exellent in Continuous Development, Continuous Integration, Testing, Deployment, Feedback, Monitoring, and Operations

Must have excellent in communication and customer centric approach.

Design, develop, and maintain code that interfaces with AI and ML models, ensuring seamless integration with various applications and services.
Work with grounding models to ensure that AI/ML outputs are accurate, reliable, and aligned with business requirements.
Stand up and manage services on Google Cloud Platform (GCP) that support AI/ML workloads, ensuring scalability, reliability, and performance.
Create robust and efficient pipelines for deploying and managing AI/ML models in production environments.
Traverse unknown territory and tackle complex problems where solutions may be vague or undefined, using a creative and analytical approach.
Collaborate with cross-functional teams to explore new concepts and technologies, pushing the boundaries of what is possible with AI/ML.
Service Wrapping and Developer Enablement:, Develop and implement wrapper services that allow developers to interface easily with AI/ML models, abstracting complexity and enhancing usability.
Provide guidance and support to development teams on best practices for integrating AI/ML models into their workflows.
Work with loose and evolving concepts, applying a flexible and adaptive approach to problem-solving.
Continuously learn and adapt to new AI/ML methodologies, tools, and frameworks, staying ahead of industry trends.
DevOps Best Practices:
Implement DevOps best practices within the GCP environment, including CI/CD pipelines, infrastructure as code, monitoring, and automated testing.
Ensure that all AI/ML deployments are secure, compliant, and adhere to industry standards.
Qualifications

Strong experience in DevOps engineering, particularly within GCP environments.
Proficiency in writing code that interfaces with AI and ML models, using languages such as Python, Java, or similar.
Experience with grounding models and ensuring alignment of AI/ML outputs with business goals.
Demonstrated ability to stand up and manage cloud-based services, particularly in GCP, that support AI/ML workloads.
Proven problem-solving skills, with the ability to tackle complex, vague, or undefined challenges.
Experience in creating wrapper services and APIs to facilitate developer interaction with AI/ML models.
Familiarity with working in fast-paced, innovative environments where concepts and requirements are continually evolving.
Excellent communication skills and the ability to work collaboratively in a cross-functional team.
Job Type: Full-time

Pay: Up to $100,000.00 per year

Work Location: Remote