Design, develop, and deploy advanced machine learning models for applications like customer segmentation, recommendation systems, anomaly detection, and predictive analytics
Collaborate with data engineers to build and maintain robust data pipelines
Evaluate and recommend ML frameworks, tools, and technologies in collaboration with Corporate IT & R&D
Experiment with different ML techniques to optimize performance and accuracy
Conduct model evaluation and continuous improvement through experimentation
Translate business requirements into scalable technical solutions
Stay ahead of industry trends and integrate the latest ML advancements
Maintain comprehensive documentation for models and processes

5+ years of experience as a Machine Learning Engineer
Degree in Computer Science, Statistics, Mathematics, or related field
Strong programming skills in Python, R, or Java
Hands-on experience with Databricks
Expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
Proven experience deploying ML models in production environments
Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning algorithms
Experience with cloud platforms (Azure preferred, AWS, or GCP)
Knowledge of MLOps practices (CI/CD, model monitoring, versioning)
Fluency in English

Machine Learning

Key skills