Design and deploy ML models at scale for a leading AI company. Own model training pipelines, feature engineering and production serving. This role offers the opportunity to work on cutting-edge natural language processing and computer vision challenges. You will bridge the gap between research and production, ensuring our AI solutions are efficient, accurate, and scalable.
Tech Stack & Skills
Python, PyTorch, TensorFlow, MLflow
Key Responsibilities
- Develop, train, and evaluate machine learning and deep learning models.
- Build scalable pipelines for data processing and model deployment.
- Collaborate with data scientists to transition prototypes into production-ready solutions.
- Monitor and optimize model performance in real-world scenarios.
Requirements
- Advanced degree in Computer Science, Mathematics, or a related field.
- Deep knowledge of ML frameworks like PyTorch or TensorFlow.
- Experience with MLOps tools (e.g., MLflow, Kubeflow) and model serving.
- Strong software engineering skills, particularly in Python.
Why Join Us?
Join our dynamic team and work on cutting-edge technologies. We are looking for passionate individuals who are ready to make an impact. This role offers competitive compensation, comprehensive benefits, and opportunities for professional growth.