Software Engineer
2 weeks ago
Skills Required:
At least 3-5 years prior relevant experience in software development / AI Engineering, with a proven track record of developing and deploying models that have driven business impact.
Proficiency in AI and machine learning, with a grasp of algorithms and data structure optimization.
A talent for developing AI bots and automation tools.
Fair background in MLOps practices tailored to managing the lifecycle of LLMs—training, fine-tuning, deploying, monitoring, and scaling.
Experience with or knowledge on managing ML models platforms (Google Vertex AI is a plus) and knowledge/experience in GenAI tools for generative model applications.
Has basic and practicing a developing understanding of REST APIs for creating scalable, maintainable connections between applications.
Basic to moderate skills in Docker and containerization technologies for consistent and efficient application deployment across environments.
Experience with scheduler tools or managing batch jobs and workflows efficiently.
Industry-standard comprehension in analyzing and editing system architectures is a plus.
Experience with Google Cloud Platform services, Kubernetes, and building scalable cloud-native applications is a plus.
Strong understanding of RESTful API development, cloud architecture, and both relational and NoSQL databases is a plus.
Excellent problem-solving skills, attention to detail, and the ability to work in a collaborative team environment.
Team-oriented, positively contributing to team morale and willing to help.
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