Solution development: Translate high-level requirements into detailed subproblems, crafting comprehensive solutions that address the overall problem. These solutions may extend beyond machine learning, provided they effectively resolve the issues.
Machine Learning model development: Own the process of model development and fine-tuning for downstream tasks, including model architecture design, optimization techniques, and especially data crawling and cleaning.
Model Deployment: Deploy ML models (or participate in the deployment process) across various environments, including cloud, on-premises, mobile, and edge devices.
Work closely with Project Managers on both external and internal tasks.
Take part in Presales activities for solution architecture and consultant.
Lead junior AI Engineers in project tasks and support their professional development.
Stay fresh and update your and team’s knowledge on state-of-the-arts AI methodologies and apply them to projects.
