Search the 8 jobs at Ccube

The Splunk/Cribl Developer is responsible for designing and implementing Cribl pipelines, integrating with Splunk, and optimizing performance. Key tasks include troubleshooting issues, collaborating with teams, and ensuring integration with data sources. Staying updated on technologies and explaining technical concepts to various audiences is essential.

As a Senior US IT Recruiter, you will identify, source, and hire top IT talent for US-based clients. Your responsibilities include conducting candidate searches, screening and interviewing candidates, managing the recruitment process, and fostering positive relationships with clients and candidates.

The Quantitative Data Scientist will develop quantitative financial investment models and algorithms while managing large datasets. The role requires working cross-functionally with software engineers and product managers to support quantitative analyses through integration of diverse data sources.

The AI/ML Engineer will assist in developing AI applications, focusing on Generative AI, NLP models, and integrating vector databases. Responsibilities include contributing to open-source projects, managing AI models on cloud platforms, and supporting data processing and model deployment.

As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.

The Senior AI/ML Engineer will design and implement AI solutions using technologies like LangChain and LlamaIndex, focus on natural language processing, and contribute to open-source projects. Responsibilities also include mentoring junior engineers and optimizing AI models for cloud deployment.

As a Senior Java Full Stack Developer, you will design, develop, and maintain applications, focusing on both front-end and back-end technologies. Responsibilities include collaborating with teams, implementing responsive UIs, developing RESTful APIs, and utilizing AWS services for cloud deployment.

The AI/ML Engineer will develop Generative and Traditional AI platform capabilities on enterprise and cloud platforms. Responsibilities include delivering AI models to infrastructure, optimizing scoring pipelines, automating model deployment, collaborating with teams for end-to-end model delivery, and providing guidance on software engineering principles. Additional support for production issues is expected.