Top Tech Jobs & Startup Jobs

As a Data Engineer, you will prepare data for AI applications through ETL processes, ensuring data quality, cleansing, and compliance while developing data pipelines for model training and deployment.

The Site Reliability Engineer will monitor, maintain, and optimize platform infrastructure for reliability and uptime. Responsibilities include using monitoring tools, responding to incidents, and developing automation scripts, while collaborating with cloud engineers to ensure stability.

As a Data Engineer, you will gather, cleanse, and prepare data for AI models, ensuring high-quality data for research and development. Responsibilities include collecting data from various sources, cleansing and preprocessing it, developing data pipelines, collaborating with machine learning engineers, and implementing efficient data storage solutions.

As a Research Engineer, you will innovate and explore new AI models and applications, conducting research on AI technologies, collaborating with machine learning teams to integrate findings, and publishing results in top journals. You will stay updated with advancements in AI and machine learning.

The Full Stack Developer - Applied AI will create back-end services and APIs, develop front-end user interfaces, and integrate data sources for AI applications. Responsibilities include ensuring software scalability and efficiency while collaborating with architects and team members.

As a Front-End Developer, you will create user-friendly interfaces for AI applications, collaborating with designers to ensure consistency and optimizing applications for speed and scalability.