AI Data Engineer (AWS, Python)

As an AI Data Engineer, you will play a crucial role in designing and building scalable data pipelines, infrastructure, and machine learning systems to support AI-driven projects. You will collaborate closely with AI Product Managers, Data Scientists, and Software Engineers to develop AI models and solutions tailored to business needs.Your key responsibilities will include: Data Pipeline Development: Designing, building, and maintaining scalable data transformation, ingestion, and storage pipelines to support AI and machine learning applications. AI Model Deployment: Collaborating with data scientists and AI engineers to deploy machine learning and AI models into production environments. Infrastructure Automation: Automating AI infrastructure to streamline development workflows for data scientists and AI engineers. Model Development & Integration: Assisting in building AI models from the ground up, transforming machine learning models into APIs, and integrating them with other systems for real-world applications. Statistical Analysis: Conducting statistical analysis to interpret model results and inform business decisions. AI Experimentation: Running experiments and tests for machine learning models and AI applications, ensuring optimal performance. Collaboration: Partnering with cross-functional teams, including electronics and robotics departments, to integrate AI solutions effectively.  System Maintenance: Monitoring and retraining systems to ensure continuous improvement and alignment with evolving business goals. Stakeholder Communication: Translating complex AI outcomes into actionable insights for business users and stakeholders. Other tasks required by CTO/ CEO.