Senior Machine Learning Engineer

Design, develop, and deploy scalable machine learning systems focused on demand forecasting and related AI products.

Build and maintain end-to-end ML workflows including data preparation, model training, deployment, monitoring, and continuous improvement.

Optimize large-scale data processing and feature engineering pipelines using technologies like PySpark and Databricks; develop multimodal deep learning models using architectures such as Transformers and foundation models.

6-8 years of professional experience in machine learning system design and deployment.

Proficient in Python programming with strong software engineering skills.

Experience with large-scale data processing technologies such as PySpark and Databricks.

Experience developing deep learning models with frameworks like PyTorch or TensorFlow.

Experienced in building and operationalizing ML pipelines across the entire model lifecycle in production environments.

Skilled at developing and deploying multimodal machine learning solutions combining images, text, structured metadata, and behavioural data.

Capable of collaborating effectively with applied scientists and engineering teams to translate research into scalable production systems, while balancing technical quality and business impact.