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.

Requirements

📍Educational Background: 📍Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial 📍Intelligence, or a related field.

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