Position Overview
Responsibilities
Develop and deploy advanced machine learning and deep learning models for real-world applicationsBuild and refine high-quality datasets, ensuring robustness and relevanceConduct data analysis to guide model development and validate performanceManage the end-to-end ML lifecycle — from training and tuning to validation and deploymentImplement MLOps practices (CI/CD, monitoring, automation)Work with Python and core AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)Containerize models using Docker for scalable deploymentFor LLM applications: design and test prompts, evaluate outputs, and support data labeling and fine-tuningCollaborate with Product Owners, Software Engineers, and QA teams to integrate AI models into production Qualifications
Proven experience developing and deploying ML models in production