You are the engine behind intelligent systems - you design, build and implement ML pipelines that transform raw data into real results. Working alongside world-class data scientists, engineers and domain experts, you move models from concept to production with speed, accuracy and creativity.
What you do:
- Develop, train and deploy machine learning models at scale using Python, TensorFlow and PyTorch
- Collaborate with data engineers to ensure robust feature pipelines and clean, reliable datasets
- Optimize model performance, interpretability and fairness across diverse applications
- Implement CI/CD for ML models, integrated with modern MLOps frameworks
- Continuously monitor models in production, retrain and improve accuracy over time
Required skills & experience:
- Proven experience building and deploying machine learning models in production environments
- Strong skills in Python, ML frameworks (TensorFlow/PyTorch) and data processing (Pandas, Spark)
- Understanding of software engineering best practices - testing, versioning and CI/CD