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The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.

The Data Engineer will architect, design, and implement advanced analytics capabilities while building and deploying large-scale data processing pipelines. Responsibilities include optimizing complex data processing and transformation pipelines, creating self-service dashboards, and collaborating with cross-functional teams to generate insights that drive business value.

Looking for a Project Manager with 5+ years of experience in project management, particularly in consumer card portfolio conversions. Must have strong business consulting, data analysis, and analytical skills. Proficiency in project management tools like JIRA, Smartsheet, Confluence, and MS Office is required.

The Data Architect will design and implement data solutions tailored to complex business needs, focusing on Snowflake architecture. Responsibilities include developing data blueprints, optimizing performance, ensuring data governance, and collaborating with stakeholders for technical specifications and data integration.

As an LLM Architect at Tiger Analytics, you will use your expertise in AI, machine learning, and data science to design, prototype, and build advanced analytics engines. Your role includes collaborating with cross-functional teams to develop innovative generative AI solutions and enhance model performance through fine-tuning and ethical considerations.

This role involves building scalable data pipelines, managing data storage solutions, and utilizing AWS services for data processing and analysis. Responsibilities include data ingestion, transformation, and monitoring, along with collaboration with cross-functional teams and maintaining documentation. Cost management and troubleshooting AWS-related issues are also key tasks.

Looking for a Data Engineer with 4+ years of experience in IT industry, expertise in Python and Pyspark, and experience building data pipelines using Azure stack. The candidate should have strong analytical skills and the ability to align data systems with business goals.