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Senior Machine Learning Engineer
Job description
About the Role
X-Team empowers the world’s leading brands to scale their engineering capabilities by providing high-performing, on-demand tech talent vetted for both technical excellence and cultural fit. As pioneers in remote work, we ensure seamless integration and industry-leading retention through a human-driven approach that prioritizes continuous progress.
Our global community of elite developers is energized by our Keep Moving Forward ethos, ready to tackle complex challenges and deliver exceptional results. Most Important Strong hands-on experience developing and deploying Machine Learning models using Py. Torch, Tensor. Flow, 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 Sage.
Maker 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.
Description copied from X-Team's careers page. Read the full posting before you apply.
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