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The MLOps Engineer will be responsible for training, deploying, and monitoring machine learning models using AWS technologies. They will collaborate with Data Engineers and Data Scientists to develop pipelines and build testing frameworks, leveraging tools like Apache Airflow and Docker. They should have deep knowledge of machine learning frameworks and AWS services for effective model evaluation and implementation.

The Azure Databricks Admin will provide technical expertise in deploying applications on the Azure Databricks platform, manage memory, handle scheduling queues, supervise cluster health, perform regular backups, and oversee code deployment. They will guide junior engineers and ensure smooth operations within a fast-paced environment.

The Solutions Architect will lead the design and implementation of solutions in PLM systems, drive business process improvements, manage integrations, and ensure project support. This role requires strong leadership in a multi-disciplinary environment and a deep understanding of system architecture.

As a Data Engineer, you will design, build, and maintain data pipelines and integration processes while collaborating with data scientists and analysts to ensure efficient data flow across the organization.

As an AWS Data Engineer at Tiger Analytics, you will design, build, and maintain scalable data pipelines on AWS. Responsibilities include implementing data workflows, optimizing performance, and collaborating with data scientists and business stakeholders to deliver analytics solutions.

The Manager/Sr Manager for Supply Chain at Tiger Analytics is responsible for delivering innovative analytics solutions, managing client relationships, leading cross-functional teams, and ensuring the effective use of data analytics tools. This role involves documentation, report generation, data management, and offering technical expertise in data-related challenges.

The Project Manager will facilitate agile processes, manage projects related to business intelligence and data analytics, communicate with stakeholders, and ensure project execution, while fostering a team environment and maintaining user stories and backlog in collaboration with business and IT stakeholders.