About
Build automated, scalable workflows for data ingestion, feature engineering, training, evaluation, and inference Package and deploy models as APIs, microservices, or streaming/batch jobs in collaboration with software and data engineering Implement telemetry, data drift detection, performance tracking, and A/B testing to ensure reliability and impact
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience 3+ years of hands-on ML engineering experience delivering models to production Strong Python and working SQL; solid software engineering fundamentals including testing and version control Experience with classical ML and a deep learning framework such as PyTorch or TensorFlow Experience deploying models via APIs, microservices, or batch/streaming systems
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.