PALNAR is seeking a highly skilled and innovative GCP DevOps Engineer with expertise in AI and Machine Learning. The ideal candidate will develop and maintain infrastructure that interfaces with AI and ML models, requiring a blend of technical proficiency and problem-solving skills.
Responsibilities:
- 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
Requirements:
- 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