KANINI · 6 hours ago
GCP DevOps Engineer
KANINI is seeking a highly skilled and innovative GCP DevOps Engineer with expertise in AI and Machine Learning. The role involves designing, developing, and maintaining infrastructure that interfaces with AI/ML models while ensuring scalable and reliable cloud services on Google Cloud Platform.
Responsibilities
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
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
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
Qualification
Required
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
Company
KANINI
Redefining Excellence. Your Partner in Sustainable Software Development.
H1B Sponsorship
KANINI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (6)
2023 (2)
2022 (8)
2021 (4)
Funding
Current Stage
Late StageLeadership Team
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