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This role involves supporting QA activities in product development at a medical device company, including document control, regulatory compliance, and training oversight.

Develop, train, and optimize ML models using Python and PyTorch; deploy and maintain ML models in production; collaborate with teams to turn business problems into ML solutions.

Assist in marketing activities for B2B and B2C, generate performance reports, maintain dashboards, and support creative asset development.

Lead performance testing activities, utilize testing tools, analyze results, maintain automation suites, and mentor junior testers.

The Senior Manager for Learning & Organization Development will lead L&D and OD initiatives, align strategies with business goals, oversee training programs, and manage complex projects while driving organizational effectiveness and collaboration.

The Azure Infrastructure Engineer will manage and optimize Azure resources, automate deployments using IaC, monitor infrastructure performance, and collaborate with developers to enhance app deployment strategies.

Assist the Quality Assurance department with compliance to regulations, documentation, audits, SOPs, and quality management tasks.

As a Data Engineer Tech Lead, you will design data platforms on cloud technologies, deploy AI algorithms, and oversee data architecture and ETL pipelines.

The Marketing Project Manager oversees multiple marketing and client programs, ensuring timely project delivery through collaboration and effective communication across teams and clients.

Lead the Reporting and Visualization team to create impactful data visualizations and reporting solutions for healthcare clients. Manage projects, develop data models, and integrate data pipelines while ensuring high-quality insights and creative presentation of data.