About the Role 

Most Important

• Strong hands-on experience developing and deploying Machine Learning models using PyTorch, TensorFlow, or Scikit-learn

• Proven experience moving models from research to production environments

• Solid understanding of model performance optimization, evaluation metrics, and monitoring

• Experience working with data pipelines and large datasets in production settings

• Strong proficiency in Python for ML workflows

Nice to Have

• Experience with MLOps practices and tools (MLflow, Kubeflow, model versioning, CI/CD for ML)

• Familiarity with cloud-based ML platforms such as AWS SageMaker or Google Vertex AI

• Experience with distributed training or large-scale ML systems

Personal Traits

• Proactive Communicator: You value clear, asynchronous communication and keep stakeholders aligned across time zones.

• Ownership Mindset: You take pride in your work, owning features from conception to deployment and maintenance.

• Continuous Learner: You have an insatiable curiosity for new tools and emerging architectural patterns.